UCSF Hyperpolarized MR Seminar
Summer 2019, Lecture #2
"DNP Physics and Hardware"
Lecturer: Jeremy Gordon
Sponsored by the NIH/NIBIB-supported UCSF Hyperpolarized MRI Technology Resource Center (P41EB013598)
https://radiology.ucsf.edu/research/labs/hyperpolarized-mri-tech
Ux Practice for Lean Startups, ux londonJanice Fraser
The document describes a workshop to identify key assumptions that must be validated for a startup idea. Participants are instructed to independently generate 10 assumptions on sticky notes, then discuss as a group to eliminate duplicates and divide into two piles based on which assumptions, if wrong, could kill the company. The top pile of critical assumptions is then ranked to select the single assumption to test first. The workshop aims to efficiently surface and prioritize the most important uncertainties to validate through customer interviews or experiments.
A public talk "AI and the Professions of the Future", held on 29 April 2023 in Veliko Tarnovo by Svetlin Nakov. Main topics:
AI is here today --> take attention to it!
- ChatGPT: revolution in language AI
- Playground AI – AI for image generation
AI and the future professions
- AI-replaceable professions
- AI-resistant professions
AI in Education
Ethics in AI
The document discusses artificial intelligence (AI) and how it may impact lives in the near future. It provides six bullet points predicting how AI could: 1) improve efficiency and productivity, 2) enhance decision-making, 3) enhance personalization, 4) improve healthcare, 5) improve transportation, and 6) improve education. AI has potential to automate tasks, provide insights, personalize services, enable more accurate medical diagnoses, revolutionize transportation through autonomous vehicles, and improve education through personalized learning and more efficient assessment. However, the document notes AI does not have human-level sentience or ability to evolve on its own.
GPT and other Text Transformers: Black Swans and Stochastic ParrotsKonstantin Savenkov
Over the last year, we see increasingly more performant Text Transformers models, such as GPT-3 from OpenAI, Turing from Microsoft, and T5 from Google. They are capable of transforming the text in very creative and unexpected ways, like generating a summary of an article, explaining complex concepts in a simple language, or synthesizing realistic datasets for AI training. Unlike more traditional Machine Learning models, they do not require vast training datasets and can start based on just a few examples.
In this talk, we will make a short overview of such models, share the first experimental results and ask questions about the future of the content creation process. Are those models ready for prime time? What will happen to the professional content creators? Will they be able to compete against such powerful models? Will we see GPT post-editing similar to MT post-editing? We will share some answers we have based on the extensive experimenting and the first production projects that employ this new technology.
Quick guide to the Design sprint.
The sprint is a five-day process for answering critical business questions through design, prototyping, and testing ideas with customers. Developed at Google Ventures, it’s a “greatest hits” of business strategy, innovation, behavior science, design thinking, and more — packaged into a battle-tested process that any team can use.
To use the links within the deck - download the presentation and open it in the browser.
The document introduces the Jobs-to-be-Done (JTBD) Needs Framework for understanding customer needs at a deeper level. It explains that there are three types of customers - job executors who use products, product support teams, and economic buyers who purchase products. Each has different "jobs" they are trying to get done. The framework maps these jobs and their desired outcomes to help product teams create solutions that better satisfy customer needs. Examples are provided of how various companies have used the framework across different industries to drive innovation and growth.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
The document discusses homepage personalization at Spotify. It begins by noting that the homepage is an important discovery, personalization, and marketplace tool. It then describes how the homepage is organized into shelves and cards containing content like albums and playlists. It discusses how a ranking algorithm and bandit policy are used to serve personalized recommendations while introducing exploration to avoid feedback loops. Finally, it provides examples of sanity checks used in production to validate that the policy and models are working as intended.
Ux Practice for Lean Startups, ux londonJanice Fraser
The document describes a workshop to identify key assumptions that must be validated for a startup idea. Participants are instructed to independently generate 10 assumptions on sticky notes, then discuss as a group to eliminate duplicates and divide into two piles based on which assumptions, if wrong, could kill the company. The top pile of critical assumptions is then ranked to select the single assumption to test first. The workshop aims to efficiently surface and prioritize the most important uncertainties to validate through customer interviews or experiments.
A public talk "AI and the Professions of the Future", held on 29 April 2023 in Veliko Tarnovo by Svetlin Nakov. Main topics:
AI is here today --> take attention to it!
- ChatGPT: revolution in language AI
- Playground AI – AI for image generation
AI and the future professions
- AI-replaceable professions
- AI-resistant professions
AI in Education
Ethics in AI
The document discusses artificial intelligence (AI) and how it may impact lives in the near future. It provides six bullet points predicting how AI could: 1) improve efficiency and productivity, 2) enhance decision-making, 3) enhance personalization, 4) improve healthcare, 5) improve transportation, and 6) improve education. AI has potential to automate tasks, provide insights, personalize services, enable more accurate medical diagnoses, revolutionize transportation through autonomous vehicles, and improve education through personalized learning and more efficient assessment. However, the document notes AI does not have human-level sentience or ability to evolve on its own.
GPT and other Text Transformers: Black Swans and Stochastic ParrotsKonstantin Savenkov
Over the last year, we see increasingly more performant Text Transformers models, such as GPT-3 from OpenAI, Turing from Microsoft, and T5 from Google. They are capable of transforming the text in very creative and unexpected ways, like generating a summary of an article, explaining complex concepts in a simple language, or synthesizing realistic datasets for AI training. Unlike more traditional Machine Learning models, they do not require vast training datasets and can start based on just a few examples.
In this talk, we will make a short overview of such models, share the first experimental results and ask questions about the future of the content creation process. Are those models ready for prime time? What will happen to the professional content creators? Will they be able to compete against such powerful models? Will we see GPT post-editing similar to MT post-editing? We will share some answers we have based on the extensive experimenting and the first production projects that employ this new technology.
Quick guide to the Design sprint.
The sprint is a five-day process for answering critical business questions through design, prototyping, and testing ideas with customers. Developed at Google Ventures, it’s a “greatest hits” of business strategy, innovation, behavior science, design thinking, and more — packaged into a battle-tested process that any team can use.
To use the links within the deck - download the presentation and open it in the browser.
The document introduces the Jobs-to-be-Done (JTBD) Needs Framework for understanding customer needs at a deeper level. It explains that there are three types of customers - job executors who use products, product support teams, and economic buyers who purchase products. Each has different "jobs" they are trying to get done. The framework maps these jobs and their desired outcomes to help product teams create solutions that better satisfy customer needs. Examples are provided of how various companies have used the framework across different industries to drive innovation and growth.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
The document discusses homepage personalization at Spotify. It begins by noting that the homepage is an important discovery, personalization, and marketplace tool. It then describes how the homepage is organized into shelves and cards containing content like albums and playlists. It discusses how a ranking algorithm and bandit policy are used to serve personalized recommendations while introducing exploration to avoid feedback loops. Finally, it provides examples of sanity checks used in production to validate that the policy and models are working as intended.
This document discusses dynamic nuclear polarization imaging (DNP). It begins by explaining the limitations of standard MRI, such as low sensitivity. DNP increases sensitivity by transferring polarization from unpaired electrons to nuclei. This can provide sensitivity enhancements over 10000x. There are several mechanisms by which DNP can occur, such as the Overhauser effect in liquids and the solid effect in solids. DNP can be used in dissolution mode, where polarization occurs in a separate polarizer, or in situ, directly in the imager. Applications include metabolic imaging with hyperpolarized 13C compounds and micro-Tesla MRI combined with DNP. In summary, DNP is a powerful technique for enhancing MRI sensitivity for various biomedical
Nuclear magnetic resonance (NMR) spectroscopy exploits the magnetic properties of certain nuclei to study the physical, chemical, and biological properties of matter. NMR provides detailed information about molecular structure through analysis of spectra. 1H NMR spectra reveal the number and environment of hydrogen atoms in a molecule based on signal frequency (chemical shift) and splitting patterns. 13C NMR spectra similarly provide information about carbon atoms, though the low natural abundance of 13C and long relaxation times make these spectra less sensitive. NMR spectroscopy is a powerful nondestructive analytical technique for elucidating molecular structure.
The document provides information on nuclear magnetic resonance (NMR) spectroscopy. It discusses key concepts such as nuclear spin, magnetic moments, energy levels of nuclei in magnetic fields, and spin-spin coupling. Nuclear spin gives rise to quantized magnetic moments and angular momentum. In an external magnetic field, these magnetic moments can align parallel or anti-parallel, splitting the energy levels. The energy difference between levels depends on the field strength and nucleus. NMR spectroscopy detects the absorption frequencies of nuclei as they transition between energy levels when irradiated with radio waves. Chemical shifts arise from electron shielding effects, allowing NMR to distinguish between similar nuclei. Spin-spin coupling further splits peaks into multiplets, providing detailed information about molecular structure.
NMR spectroscopy is a technique that uses radio waves and strong magnetic fields to analyze atomic nuclei and their magnetic properties. It provides information about the molecular structure of compounds. The document discusses the basic principles of NMR spectroscopy including nuclear spin, chemical shifts, spin-spin coupling, and instrumentation. It also provides an example 1H NMR spectrum of ethanol to demonstrate how peaks are split based on neighboring hydrogen atoms.
- The document discusses the history and technique of measuring the electric dipole moment (EDM) of the neutron, which would violate parity and time reversal symmetry.
- It outlines the key aspects of the new neutron EDM experiment being conducted at the Spallation Neutron Source at Oak Ridge National Laboratory, including using ultracold neutrons stored in superfluid helium-4 and measuring their precession with polarized helium-3 as a comagnetometer.
- It also describes experiments measuring the "dressed spin" effect where the effective g-factors of neutrons and helium-3 are made identical through application of a resonant radiofrequency dressing field, which could improve the sensitivity of the neutron E
This document provides an overview of nuclear magnetic resonance (NMR) spectroscopy and its applications to determining organic compound structures. It discusses key aspects of NMR spectroscopy including the physical principles, experimental setup, and characteristics of spin 1/2 nuclei commonly studied like protons, carbon-13, fluorine-19, and phosphorus-31. It also describes proton NMR spectroscopy specifically and how it is used to analyze sample solutions in deuterated solvents and determine chemical shifts.
NMR spectroscopy exploits the magnetic properties of atomic nuclei to characterize organic molecules. It works by applying a strong magnetic field to align nuclear spins, and then applying a radiofrequency pulse to induce transitions between spin states. This allows identification of carbon-hydrogen frameworks within molecules. The NMR spectrum provides information on chemical environments and molecular structure through properties like chemical shift, spin-spin splitting, integration, and coupling constants. Developments include 2D NMR, deuterium labeling, and Fourier transform NMR for improved resolution and sensitivity.
Nuclear Magnetic Resonance Spectroscopy (NMR) provides information about atomic nuclei and the chemical bonds between them. NMR is useful for structure determination of organic compounds. When placed in an external magnetic field, atomic nuclei with an odd number of protons and/or neutrons absorb and emit electromagnetic radiation at characteristic frequencies. NMR signals provide information about the number and type of neighboring atoms, as well as molecular structure and dynamics. Fourier transform NMR techniques and advanced spectrometers have improved NMR's analytical capabilities.
1. NMR spectroscopy involves subjecting atomic nuclei to radiofrequency pulses within a strong magnetic field, causing them to absorb and emit electromagnetic radiation. The frequency absorbed depends on the magnetic field strength and properties of the nuclear isotope.
2. 1H and 13C NMR spectra provide information about the number and connectivity of protons and carbons in an organic molecule. Chemical shifts indicate the nuclear environment, while spin-spin splitting patterns reveal neighboring nuclei.
3. Analysis of NMR spectra involves determining the number of signal types, their integration intensities, chemical shifts, and splitting patterns to elucidate the compound's structure.
CHEMICAL SHIFT AND ITS FACTOR EFFECTS, COUPLING CONSTANT, FIRST ORDER TO NON FIRST ORDER, SPIN SYSTEMS, CHEMICAL EQUIVALENCE AND NON EQUIVALENCE, TIRUMALA SANTHOSHKUMAR S
This document provides an introduction and overview of C-13 nuclear magnetic resonance (NMR) spectroscopy. It discusses the basic principles of NMR, including nuclear spin, resonance frequency, chemical shifts, spin relaxation, scalar coupling, and other concepts. Examples of typical chemical shift ranges are given for different types of carbon environments. Predictions of chemical shifts are demonstrated using known substituent effects. Solvent chemical shift references are also provided.
C13 NMR spectroscopy provides information about carbon atoms in molecules. It works based on the absorption of radio waves by carbon-13 nuclei in a magnetic field. There are a few key points:
1) C13 NMR is difficult to analyze due to the low natural abundance of C13 and its weaker magnetic resonance compared to protons.
2) Different types of carbon atoms (CH, CH2, CH3) can be distinguished based on their chemical shifts and coupling patterns. Proton decoupling is used to simplify spectra.
3) DEPT experiments analyze carbon types by enhancing signals from different hybridized carbons (CH, CH2, CH3) in different ways. This allows determining the number and type
1. Structure Determination by NMR provides lectures on NMR techniques for determining molecular structures, including C13 NMR, 1H NMR, and how NMR works.
2. Biological molecules like proteins and nucleic acids are large and complex, often exceeding 2000 atoms. NMR can be used to determine their 3D structures and dynamics in solution.
3. X-ray crystallography can determine detailed 3D structures but requires crystals, while NMR can be used in solution and its limitations in molecular size are changing.
PRINCIPLES of FT-NMR & 13C NMR
Fourier Transform
FOURIER TRANSFORM NMR SPECTROSCOPY
THEORY OF FT-NMR
13C NMR SPECTROSCOPY
Principle
Why C13-NMR is required though we have H1-NMR?
CHARACTERISTIC FEATURES OF 13 C NMR
Chemical Shifts
NUCLEAR OVERHAUSER ENHANCEMENT
Short-Comings of 13C-NMR Spectra
NMR spectroscopy is a technique that detects atomic nuclei and probes their magnetic properties. It works by applying a strong magnetic field to align nuclear magnetic moments, and a second magnetic field to excite the nuclei and cause them to emit radio signals. The emitted signals are analyzed to yield information about the nuclei undergoing NMR. NMR is widely used in fields such as chemistry, medicine, materials science, and biology.
The document summarizes a proposal for a new neutron electric dipole moment (EDM) experiment at the Spallation Neutron Source (SNS). The experiment aims to improve the current neutron EDM sensitivity by two orders of magnitude using ultra-cold neutrons produced in superfluid helium-4 and polarized helium-3 as a co-magnetometer. Many feasibility studies have been conducted, including tests of the helium-3 spin precession frequency matching technique. Construction of the new neutron EDM experiment is expected to begin in fiscal year 2010 with the goal of reaching a sensitivity of less than 1×10-28 e-cm.
This document provides an overview of nuclear magnetic resonance spectroscopy (NMR) focusing on Carbon-13 (13C) NMR. It defines NMR and explains the principles of how atomic nuclei absorb energy from radiofrequency fields in a magnetic field. The summary discusses key aspects of 13C NMR including that 13C is difficult to detect due to its low natural abundance, advantages over 1H NMR, factors affecting chemical shifts, techniques to simplify spectra like decoupling, and applications like DEPT NMR to determine functional groups.
This document provides an overview of Nuclear Magnetic Resonance (NMR) spectroscopy. It discusses key NMR concepts like spin quantum number, instrumentation, solvent requirements, relaxation processes, chemical shift, and coupling constants. The presentation was given by Suraj N. Wanjari and covered topics such as NMR principles, instrumentation, factors affecting chemical shift, and applications of 1H NMR and 13C NMR spectroscopy. References on NMR spectroscopy from several analytical chemistry textbooks are also listed.
Nuclear magnetic resonance (NMR) spectroscopy is a technique that uses radio waves to study atomic nuclei and their magnetic properties. It provides detailed information about molecular structure. NMR works by applying a strong magnetic field to align nuclear spins, then applying a second radio frequency field to excite the spins. The excited spins relax back to equilibrium at frequencies specific to their chemical environment. This allows NMR to distinguish different nuclear environments within a molecule. The document outlines the basic theory, principles, instrumentation, and applications of NMR spectroscopy, including structure elucidation, medical uses like MRI, and determining physical and chemical properties of molecules.
This document discusses mentoring trainees in research, focusing on PhD/non-MD perspectives. It defines trainees as those undergoing temporary training, such as postdocs, graduate students, and undergraduate students. The role of mentors is to facilitate trainees' transition to the next stage. Mentoring involves research training, communication skills development, and career guidance. The document provides guidance on mentoring different trainee types, including focusing postdocs on independent research, giving PhD students opportunities to explore new ideas, providing well-defined projects for masters students, and exposing undergraduates to research. It also discusses generalizable skills and tools to support effective mentoring.
This document discusses dynamic nuclear polarization imaging (DNP). It begins by explaining the limitations of standard MRI, such as low sensitivity. DNP increases sensitivity by transferring polarization from unpaired electrons to nuclei. This can provide sensitivity enhancements over 10000x. There are several mechanisms by which DNP can occur, such as the Overhauser effect in liquids and the solid effect in solids. DNP can be used in dissolution mode, where polarization occurs in a separate polarizer, or in situ, directly in the imager. Applications include metabolic imaging with hyperpolarized 13C compounds and micro-Tesla MRI combined with DNP. In summary, DNP is a powerful technique for enhancing MRI sensitivity for various biomedical
Nuclear magnetic resonance (NMR) spectroscopy exploits the magnetic properties of certain nuclei to study the physical, chemical, and biological properties of matter. NMR provides detailed information about molecular structure through analysis of spectra. 1H NMR spectra reveal the number and environment of hydrogen atoms in a molecule based on signal frequency (chemical shift) and splitting patterns. 13C NMR spectra similarly provide information about carbon atoms, though the low natural abundance of 13C and long relaxation times make these spectra less sensitive. NMR spectroscopy is a powerful nondestructive analytical technique for elucidating molecular structure.
The document provides information on nuclear magnetic resonance (NMR) spectroscopy. It discusses key concepts such as nuclear spin, magnetic moments, energy levels of nuclei in magnetic fields, and spin-spin coupling. Nuclear spin gives rise to quantized magnetic moments and angular momentum. In an external magnetic field, these magnetic moments can align parallel or anti-parallel, splitting the energy levels. The energy difference between levels depends on the field strength and nucleus. NMR spectroscopy detects the absorption frequencies of nuclei as they transition between energy levels when irradiated with radio waves. Chemical shifts arise from electron shielding effects, allowing NMR to distinguish between similar nuclei. Spin-spin coupling further splits peaks into multiplets, providing detailed information about molecular structure.
NMR spectroscopy is a technique that uses radio waves and strong magnetic fields to analyze atomic nuclei and their magnetic properties. It provides information about the molecular structure of compounds. The document discusses the basic principles of NMR spectroscopy including nuclear spin, chemical shifts, spin-spin coupling, and instrumentation. It also provides an example 1H NMR spectrum of ethanol to demonstrate how peaks are split based on neighboring hydrogen atoms.
- The document discusses the history and technique of measuring the electric dipole moment (EDM) of the neutron, which would violate parity and time reversal symmetry.
- It outlines the key aspects of the new neutron EDM experiment being conducted at the Spallation Neutron Source at Oak Ridge National Laboratory, including using ultracold neutrons stored in superfluid helium-4 and measuring their precession with polarized helium-3 as a comagnetometer.
- It also describes experiments measuring the "dressed spin" effect where the effective g-factors of neutrons and helium-3 are made identical through application of a resonant radiofrequency dressing field, which could improve the sensitivity of the neutron E
This document provides an overview of nuclear magnetic resonance (NMR) spectroscopy and its applications to determining organic compound structures. It discusses key aspects of NMR spectroscopy including the physical principles, experimental setup, and characteristics of spin 1/2 nuclei commonly studied like protons, carbon-13, fluorine-19, and phosphorus-31. It also describes proton NMR spectroscopy specifically and how it is used to analyze sample solutions in deuterated solvents and determine chemical shifts.
NMR spectroscopy exploits the magnetic properties of atomic nuclei to characterize organic molecules. It works by applying a strong magnetic field to align nuclear spins, and then applying a radiofrequency pulse to induce transitions between spin states. This allows identification of carbon-hydrogen frameworks within molecules. The NMR spectrum provides information on chemical environments and molecular structure through properties like chemical shift, spin-spin splitting, integration, and coupling constants. Developments include 2D NMR, deuterium labeling, and Fourier transform NMR for improved resolution and sensitivity.
Nuclear Magnetic Resonance Spectroscopy (NMR) provides information about atomic nuclei and the chemical bonds between them. NMR is useful for structure determination of organic compounds. When placed in an external magnetic field, atomic nuclei with an odd number of protons and/or neutrons absorb and emit electromagnetic radiation at characteristic frequencies. NMR signals provide information about the number and type of neighboring atoms, as well as molecular structure and dynamics. Fourier transform NMR techniques and advanced spectrometers have improved NMR's analytical capabilities.
1. NMR spectroscopy involves subjecting atomic nuclei to radiofrequency pulses within a strong magnetic field, causing them to absorb and emit electromagnetic radiation. The frequency absorbed depends on the magnetic field strength and properties of the nuclear isotope.
2. 1H and 13C NMR spectra provide information about the number and connectivity of protons and carbons in an organic molecule. Chemical shifts indicate the nuclear environment, while spin-spin splitting patterns reveal neighboring nuclei.
3. Analysis of NMR spectra involves determining the number of signal types, their integration intensities, chemical shifts, and splitting patterns to elucidate the compound's structure.
CHEMICAL SHIFT AND ITS FACTOR EFFECTS, COUPLING CONSTANT, FIRST ORDER TO NON FIRST ORDER, SPIN SYSTEMS, CHEMICAL EQUIVALENCE AND NON EQUIVALENCE, TIRUMALA SANTHOSHKUMAR S
This document provides an introduction and overview of C-13 nuclear magnetic resonance (NMR) spectroscopy. It discusses the basic principles of NMR, including nuclear spin, resonance frequency, chemical shifts, spin relaxation, scalar coupling, and other concepts. Examples of typical chemical shift ranges are given for different types of carbon environments. Predictions of chemical shifts are demonstrated using known substituent effects. Solvent chemical shift references are also provided.
C13 NMR spectroscopy provides information about carbon atoms in molecules. It works based on the absorption of radio waves by carbon-13 nuclei in a magnetic field. There are a few key points:
1) C13 NMR is difficult to analyze due to the low natural abundance of C13 and its weaker magnetic resonance compared to protons.
2) Different types of carbon atoms (CH, CH2, CH3) can be distinguished based on their chemical shifts and coupling patterns. Proton decoupling is used to simplify spectra.
3) DEPT experiments analyze carbon types by enhancing signals from different hybridized carbons (CH, CH2, CH3) in different ways. This allows determining the number and type
1. Structure Determination by NMR provides lectures on NMR techniques for determining molecular structures, including C13 NMR, 1H NMR, and how NMR works.
2. Biological molecules like proteins and nucleic acids are large and complex, often exceeding 2000 atoms. NMR can be used to determine their 3D structures and dynamics in solution.
3. X-ray crystallography can determine detailed 3D structures but requires crystals, while NMR can be used in solution and its limitations in molecular size are changing.
PRINCIPLES of FT-NMR & 13C NMR
Fourier Transform
FOURIER TRANSFORM NMR SPECTROSCOPY
THEORY OF FT-NMR
13C NMR SPECTROSCOPY
Principle
Why C13-NMR is required though we have H1-NMR?
CHARACTERISTIC FEATURES OF 13 C NMR
Chemical Shifts
NUCLEAR OVERHAUSER ENHANCEMENT
Short-Comings of 13C-NMR Spectra
NMR spectroscopy is a technique that detects atomic nuclei and probes their magnetic properties. It works by applying a strong magnetic field to align nuclear magnetic moments, and a second magnetic field to excite the nuclei and cause them to emit radio signals. The emitted signals are analyzed to yield information about the nuclei undergoing NMR. NMR is widely used in fields such as chemistry, medicine, materials science, and biology.
The document summarizes a proposal for a new neutron electric dipole moment (EDM) experiment at the Spallation Neutron Source (SNS). The experiment aims to improve the current neutron EDM sensitivity by two orders of magnitude using ultra-cold neutrons produced in superfluid helium-4 and polarized helium-3 as a co-magnetometer. Many feasibility studies have been conducted, including tests of the helium-3 spin precession frequency matching technique. Construction of the new neutron EDM experiment is expected to begin in fiscal year 2010 with the goal of reaching a sensitivity of less than 1×10-28 e-cm.
This document provides an overview of nuclear magnetic resonance spectroscopy (NMR) focusing on Carbon-13 (13C) NMR. It defines NMR and explains the principles of how atomic nuclei absorb energy from radiofrequency fields in a magnetic field. The summary discusses key aspects of 13C NMR including that 13C is difficult to detect due to its low natural abundance, advantages over 1H NMR, factors affecting chemical shifts, techniques to simplify spectra like decoupling, and applications like DEPT NMR to determine functional groups.
This document provides an overview of Nuclear Magnetic Resonance (NMR) spectroscopy. It discusses key NMR concepts like spin quantum number, instrumentation, solvent requirements, relaxation processes, chemical shift, and coupling constants. The presentation was given by Suraj N. Wanjari and covered topics such as NMR principles, instrumentation, factors affecting chemical shift, and applications of 1H NMR and 13C NMR spectroscopy. References on NMR spectroscopy from several analytical chemistry textbooks are also listed.
Nuclear magnetic resonance (NMR) spectroscopy is a technique that uses radio waves to study atomic nuclei and their magnetic properties. It provides detailed information about molecular structure. NMR works by applying a strong magnetic field to align nuclear spins, then applying a second radio frequency field to excite the spins. The excited spins relax back to equilibrium at frequencies specific to their chemical environment. This allows NMR to distinguish different nuclear environments within a molecule. The document outlines the basic theory, principles, instrumentation, and applications of NMR spectroscopy, including structure elucidation, medical uses like MRI, and determining physical and chemical properties of molecules.
Similar to UCSF Hyperpolarized MR #2: DNP Physics and Hardware (2019 (20)
This document discusses mentoring trainees in research, focusing on PhD/non-MD perspectives. It defines trainees as those undergoing temporary training, such as postdocs, graduate students, and undergraduate students. The role of mentors is to facilitate trainees' transition to the next stage. Mentoring involves research training, communication skills development, and career guidance. The document provides guidance on mentoring different trainee types, including focusing postdocs on independent research, giving PhD students opportunities to explore new ideas, providing well-defined projects for masters students, and exposing undergraduates to research. It also discusses generalizable skills and tools to support effective mentoring.
"Hyperpolarization - Description, Overview, & Methods" ISMRM Annual Meeting, Educational Presentation, April 26, 2017
Basic introduction of Hyperpolarization via DNP, as well as PHIP and optical pumping
Imaging strategies and analysis methods for Hyperpolarized MRI (emphasis on carbon-13 metabolic imaging)
https://youtu.be/NLT8E-CLF6o
UCSF Hyperpolarized MR Seminar
Summer 2019, Lecture #8-2
"Integration into Biomedical Research - Neurological"
Lecturer: Lydia Le Page
Sponsored by the NIH/NIBIB-supported UCSF Hyperpolarized MRI Technology Resource Center (P41EB013598)
https://radiology.ucsf.edu/research/labs/hyperpolarized-mri-tech
This document discusses applications of hyperpolarized carbon-13 MRI for studying cardiac metabolism and energetics. It describes how the healthy heart utilizes multiple energy substrates including fatty acids, glucose, lactate, and ketone bodies. Cardiovascular diseases are associated with characteristic changes in substrate selection, such as increased reliance on fatty acids in obesity/diabetes and a shift to glycolysis and ketone bodies in heart failure. Hyperpolarized 13C-pyruvate MRI can provide insights into cardiac metabolism in both animal models and healthy human volunteers. Additional agents under investigation include 13C-labeled acetate, butyrate and urea to probe fatty acid oxidation, substrate competition, and perfusion respectively.
UCSF Hyperpolarized MR #4: Acquisition and RF Coils (2019)Peder Larson
UCSF Hyperpolarized MR Seminar
Summer 2019, Lecture #4
"Hyperpolarized MR Acquisition and RF Coils"
Lecturer: Jeremy Gordon
Sponsored by the NIH/NIBIB-supported UCSF Hyperpolarized MRI Technology Resource Center (P41EB013598)
https://radiology.ucsf.edu/research/labs/hyperpolarized-mri-tech
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.
Anti-Universe And Emergent Gravity and the Dark UniverseSérgio Sacani
Recent theoretical progress indicates that spacetime and gravity emerge together from the entanglement structure of an underlying microscopic theory. These ideas are best understood in Anti-de Sitter space, where they rely on the area law for entanglement entropy. The extension to de Sitter space requires taking into account the entropy and temperature associated with the cosmological horizon. Using insights from string theory, black hole physics and quantum information theory we argue that the positive dark energy leads to a thermal volume law contribution to the entropy that overtakes the area law precisely at the cosmological horizon. Due to the competition between area and volume law entanglement the microscopic de Sitter states do not thermalise at sub-Hubble scales: they exhibit memory effects in the form of an entropy displacement caused by matter. The emergent laws of gravity contain an additional ‘dark’ gravitational force describing the ‘elastic’ response due to the entropy displacement. We derive an estimate of the strength of this extra force in terms of the baryonic mass, Newton’s constant and the Hubble acceleration scale a0 = cH0, and provide evidence for the fact that this additional ‘dark gravity force’ explains the observed phenomena in galaxies and clusters currently attributed to dark matter.
Signatures of wave erosion in Titan’s coastsSérgio Sacani
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
Embracing Deep Variability For Reproducibility and Replicability
Abstract: Reproducibility (aka determinism in some cases) constitutes a fundamental aspect in various fields of computer science, such as floating-point computations in numerical analysis and simulation, concurrency models in parallelism, reproducible builds for third parties integration and packaging, and containerization for execution environments. These concepts, while pervasive across diverse concerns, often exhibit intricate inter-dependencies, making it challenging to achieve a comprehensive understanding. In this short and vision paper we delve into the application of software engineering techniques, specifically variability management, to systematically identify and explicit points of variability that may give rise to reproducibility issues (eg language, libraries, compiler, virtual machine, OS, environment variables, etc). The primary objectives are: i) gaining insights into the variability layers and their possible interactions, ii) capturing and documenting configurations for the sake of reproducibility, and iii) exploring diverse configurations to replicate, and hence validate and ensure the robustness of results. By adopting these methodologies, we aim to address the complexities associated with reproducibility and replicability in modern software systems and environments, facilitating a more comprehensive and nuanced perspective on these critical aspects.
https://hal.science/hal-04582287
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...Sérgio Sacani
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
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)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
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Ca-rich population. Although such an object is too red for any low-
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cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
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) with
Λ
CDM. Therefore unlike low-
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Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
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truly diverge from their low-
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counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
BIRDS DIVERSITY OF SOOTEA BISWANATH ASSAM.ppt.pptxgoluk9330
Ahota Beel, nestled in Sootea Biswanath Assam , is celebrated for its extraordinary diversity of bird species. This wetland sanctuary supports a myriad of avian residents and migrants alike. Visitors can admire the elegant flights of migratory species such as the Northern Pintail and Eurasian Wigeon, alongside resident birds including the Asian Openbill and Pheasant-tailed Jacana. With its tranquil scenery and varied habitats, Ahota Beel offers a perfect haven for birdwatchers to appreciate and study the vibrant birdlife that thrives in this natural refuge.
3. § In the absence of a magnetic field,
no preferred orientation
The Magnetic in MRI
4. § What happens when spins are placed
into a magnetic field?
• Zeeman splitting
• Precess about B0
‒ ω = γB0
Bulk Magnetization
5. § So why the need for a strong
magnet in MRI?
• Earth’s magnetic field?
§ Boltzmann equilibrium!
Bulk Magnetization
6. § Boltzmann equilibrium:
Boltzmann Distribution
€
n+
n− = exp
γ!B0
kBT
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⎝
⎜
⎞
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-
= -+
-+
Tk
B
nn
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P
B
o
th
2
tanh
!g
Net Magnetization
(parallel - antiparallel)
Total # of spins
7. SNR in MRI
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æ +
=
F
QV
T
TN
k
II
R c!
8. SNR in MRI
§Signal in an MR experiment is proportional to n, γ, and Pth.
§Polarization is a function of γ, Bo and T:
At 3T and 37°C:
§Pth(1H) ≈ 9 x 10-4 %
§Pth(13C) ≈ 2.3 x 10-4 %
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ø
ö
çç
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=
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-
= -+
-+
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nn
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P
B
o
th
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thPnSNR gµ
9. Sensitivity in MRI
§ Water, fat have strong signal
§ 13C, 15N, 31P inform about
biochemistry
• Inherently poor SNR
§ Carbon is the backbone of life
• 12C has no NMR signal
• 13C abundance = 1.1%
Bottomley, Radiology 170(1): 1989
10. Thermal Polarization
§ Polarization is a function of γ, Bo and T:
§ How can we increase polarization?
• Increase B0
• Decrease temperature
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ø
ö
çç
è
æ
=
+
-
= -+
-+
Tk
B
nn
nn
P
B
o
th
2
tanh
!g
(Upper limit of ~30-50T)
11. Thermal Polarization
§ Polarization is a function of γ, Bo and T:
§ How can we increase polarization?
• Increase B0
• Decrease temperature
÷÷
ø
ö
çç
è
æ
=
+
-
= -+
-+
Tk
B
nn
nn
P
B
o
th
2
tanh
!g
(Upper limit of ~30-50T)
12. Brute-Force Polarization
§ Force spins into high polarization at low temperature/high B0
§ Pros:
• Straightforward
§ Cons:
• Engineering challenge (3He/4He refrigerator)
• LONG buildup times
13. Dynamic Nuclear Polarization
§ Exogenously increase 13C polarization via Dynamic Nuclear Polarization
(DNP1)
§ Yields 20+% 13C polarization in 1-2 hours
• 105 signal enhancement
1Ardenkjær-Larsen et al ., PNAS 2003; 100(18).
16. DNP Requirements
• Transfer polarization from e- to n
• Requirements:
• Low temperature
• High field
• Free radical (unpaired electron)
• 1:1000 ratio
• Forms a neat glass (no
crystallization)
• MW source to transfer polarization
from e- to nuclei
• Three main mechanisms:
• Solid Effect
• Cross Effect
• Thermal Mixing
Forbidden passage (quenching):
e- to local nuclei (grey).
First passage (SE, CE, TM):
e- to near nuclei (blue).
Second passage (spin diffusion):
nuclei to nuclei (green).
In every passage: tuned relaxation!
e-e-
nuclei
nuclei
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
e-
13C
13C
13C
13C
13C
13C
13C
13C
13C
T1(e-)<T1(n)T1(e-)~T1(n)
13C
T1(e-) short
T1(n) long
e-
nuclei
T1(e-)>T1(n)
17. Solid Effect
• Transfer polarization from e- to n by
driving a forbidden ‘flip-flop’ two-
quantum transition
• Electrons relax to full polarization but
nuclei remain polarized; T1,e << T1,n
• Apply microwaves at ѡ = ѡe ± ѡn for
optimal enhancement
• Dominant at low field and low EPA
concentrations
w
0(n)
w0(e-) + w0(n)
w0(e-) - w0(n)
w0(e-)
E
1
2
4
3
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18. Cross Effect
w0(n)
1
2
4
3
5
6
8
7
w0(e-
1)
w0(e-
2)
• Three spin process: 2 electrons and 1
nucleus
• Requirements:
• ѡn = ѡe1 – ѡe2
• EPR linewidth that is broader than
the nuclear Larmor frequency
• Coupling between the two electrons
• MW irradiation at one of the e-
resonances leads to triple spin flips,
transferring polarization from e- to n
• Dominant at high field and low EPA
concentrations
E
19. Thermal Mixing
• Extension of the Cross Effect
• Interaction between MANY electrons and
one nucleus
• Apply microwaves near the electron
resonance
• Puts the nuclear spin system in
contact with the electron spin system
• Leads to dynamic cooling of the
nuclear spins à increases nuclear
polarization
• Requires lower MW power than the solid
effect
• Dominant effect at intermediate field and
high EPA concentration
20. Spin Diffusion
230 W. T. Wenckebach
only once. But there are many nuclear spins which we wish to polarize. To en-
able this, the electron spin has to be repolarized. This is achieved by the elec-
tron spin–lattice relaxation process.
Thus, DNP occurs in three steps. First, the electron spins are polarized via
electron spin–lattice relaxation. Next, this polarization is transferred to the nearby
nuclear spins by means of the microwave field. Finally, nuclear spin diffusion
transports the polarization to the far nuclear spins. Inevitably, all these processes
have to counter nuclear spin–lattice relaxation, which is not shown in Fig. 1.
3.2 The Hamiltonian
Electron
Spins
Lattice
Local
Nuclear
Spins
Near
Nuclear
Spins
Far
Nuclear
SpinsSpin
Lattice
Relaxation
Microwave
Pumping
Nuclear
Spin
Diffusion
Fig. 1. Overview of the processes involved in DNP.
e-
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
e-
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C 13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C 13C
13C
13C
13C
13
13C
13C
13C
13C
13C13C
• DNP process is efficient from electrons
to near nuclei (blue)
• Spin diffusion transfers polarization to
remote nuclei not coupled to e-
• Optimum concentration of nuclear spins
• Minimum to allow spin diffusion
• Maximum to prevent nuclear T1
shortening
21. § Solid-state polarization builds up
over time
§ Analogous to T1 recovery
• 𝑃𝑜𝑙 𝑡 = 𝑃𝑜𝑙&'( × 1 − 𝑒 -./
01
• Want >3 𝜏b for >95% Polmax
§ Buildup time is ~17m for pyruvate
(1.4K / 3.35T)
• Typically longer for other
substrates
DNP: Buildup
22. § How do we determine which
microwave frequency to use?
• Run a microwave sweep (DNP
spectrum)
• Short polarization time + loop
through μ-wave frequencies
§ Useful when:
• Developing new probes
• Using a new system (even if
same field strength!)
• Using a different radical
• Routine check
DNP: Optimum Microwave Frequency
23. DNP: Effect of Temperature and Field Strength
• Polarizers operate at different field
strengths and temperatures
• Hypersense: 3.35T/1.4K
• SPINlab: 3.35T/0.8K
5.00T/0.8K
• Others operate at 7T-10.1T, 0.8K
• In general, high field/lower temperature
lead to higher polarization.
• Why does this make a difference when
P(e-) already 100%?
24. DNP: Effect of Temperature and Field Strength
Forbidden passage (quenching):
e- to local nuclei (grey).
First passage (SE, CE, TM):
e- to near nuclei (blue).
Second passage (spin diffusion):
nuclei to nuclei (green).
In every passage: tuned relaxation!
e-e-
nuclei
nuclei
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
13C
e-
13C
13C
13C
13C
13C
13C
13C
13C
13C
T1(e-)<T1(n)T1(e-)~T1(n)
13C
T1(e-) short
T1(n) long
e-
nuclei
T1(e-)>T1(n)
§ Comes down to interplay between
T1(e-) and T1(n)
§ High field/low temperature
predominantly leads to an increase in
T1(n), increasing polarization
§ Doping with paramagnetic lanthanides
(Gd, Ho) also increase polarization by
preferentially reducing T1(e-)
T1(e)/T1(n) 'Leakage Factor’
Effects of nuclear
relaxation
25. DNP: Effect of Temperature and Field Strength
§ Comes down to interplay between
T1(e-) and T1(n)
§ High field/low temperature
predominantly leads to an increase in
T1(n), increasing polarization
§ Doping with paramagnetic lanthanides
(Gd, Ho) also increase polarization by
preferentially reducing T1(e-)
T1(e)/T1(n) 'Leakage Factor’
Effects of nuclear
relaxation
26. DNP: Effect of Temperature and Field Strength
§ Sample temperature is critical to maximize polarization
• Roughly 10% change / 0.1K
‒ e.g. 1.35K à 1.55K lowers SNR by 20%
§ Always check polarizer temperature when running an experiment!
27. DNP: Effect of Radical
§ Many different stable radicals can be
used
§ Choice of solvent may dictate which
radical can be used (i.e. some radicals
are hydrophobic, etc)
§ Narrow linewidth radicals (like trityl) are
most effective for direct polarization of
low-ɣ nuclei, like 13C
§ Radical concentration can also
influence polarization
• Tradeoff between faster buildup
times/increased T1(n) relaxation
‒ Data shown are at 7T
28. DNP: Effect of Radical
§ Many different stable radicals can be
used
§ Choice of solvent may dictate which
radical can be used (i.e. some radicals
are hydrophobic, etc)
§ Narrow linewidth radicals (like trityl) are
most effective for direct polarization of
low-ɣ nuclei, like 13C
§ Radical concentration can also
influence polarization
• Tradeoff between faster buildup
times/increased T1(n) relaxation
‒ Data shown are at 7T
29. DNP: Effect of Radical
§ Many different stable radicals can be
used
§ Choice of solvent may dictate which
radical can be used (i.e. some radicals
are hydrophobic, etc)
§ Narrow linewidth radicals (like trityl) are
most effective for direct polarization of
low-ɣ nuclei, like 13C
§ Radical concentration can also
influence polarization
• Tradeoff between faster buildup
times/increased T1(n) relaxation
‒ Data shown are at 7T
30. § Operates at 3.35T / 1.4K
§ Designed for small samples
§ 5-300μL sample volume
§ 4-10mL output volume
§ Key components:
– Magnet (1)
– Vacuum pump (2)
– Microwave source (4)
– Dissolution stick (10)
§ Crucial step is rapid dissolution
– Frozen sample is rapidly thawed
with superheated solution
Hypersense Polarizer
31. 3.35T magnet
Hypersense Polarizer
1. Take 13C enriched compound
2. Add small amount of stable
unpaired electron
– Typically 15mM trityl radical
3. Pressurize sample space,
insert sample
– Minimize this time!
4. Cool to 1.4K at 3.35T
5. Irradiate with microwaves
33. • The buffer is heated and pressurized
• The sample space is pressurized
• The sample is raised out of the liquid
helium
• The dissolution stick is lowered,
docking with the sample holder
• The solvent is injected, dissolving the
sample with He chase gas, while
preserving the enhanced polarization
~ 3.35T
~ 1.4K
Dissolution Procedure
Resulting sample:
• High polarization
• Physiologic
temperature
• Physiologic pH
34. Hypersense: Key Considerations
1. Always check helium gas tank
• Used to pressurize sample space
• Used as chase gas for dissolution
35. Hypersense: Key Considerations
1. Always check helium gas tank
2. Always check solid-state buildup
• No solid-state signal?
‒ Sample not present
‒ Microwaves not on
‒ Polarimeter not working
• Lower than expected solid-state signal?
‒ Sample spilled/incorrect volume
‒ Incorrect microwave frequency
3. Always check temperature (1.35K)
• Elevated temperature à reduced polarization
• Typically fixed with a bakeout (system process to remove contaminants from the insert)
36. Spinlab Polarizer
§Two Spinlab polarizers (Surbeck Lab)
• 3.35T / 0.8K à ~20% [1-13C]pyruvate
polarization
• 5T / 0.8K à ~45% [1-13C]pyruvate polarization
§ Designed for larger samples
§ 50 - 1500μL sample volume
§ 10 - 45mL output volume
§Differences between Hypersense &
Spinlab?
37. • Key components:
• Magnet
• Microwave source
• Vacuum pump
• Sorption pump
Hypersense Polarizer
• Main differences from Hypersense:
• Simultaneous polarization (up to 4 samples)
• Sample space NOT pressurized
• No helium boiloff
38. § Sample space is not pressurized for dissolution
• Minimizes cryogen consumption
• With no dissolution stick, how do we retrieve
and dissolve the sample?
• Requires integrated fluid path for dissolution
§ Fluid Path:
• Sample vial ßà Sample cup
• Dynamic seal ßà Sample port
• Coaxial tubing ßà Dissolution Line
• Receiving vessel (for clinical use) ßà Flask
Spinlab Polarizer: Fluid Path
39. § Sample space is not pressurized for dissolution
• Minimizes cryogen consumption
• With no dissolution stick, how do we retrieve
and dissolve the sample?
• Requires integrated fluid path for dissolution
§ Fluid Path:
• Sample vial ßà Sample cup
• Dynamic seal ßà Sample port
• Coaxial tubing ßà Dissolution Line
• Receiving vessel (for clinical use) ßà Flask
Spinlab Polarizer: Fluid Path
40. § Sample preparation
• More time consuming than the Hypersense
1. Load sample vial
2. Glue to fluid path outer lumen
3. Fill syringe with dissolution media
4. Pressure test fluid path
5. Dry fluid path
6. Load the sample
§ For dissolution
• Open valve, hot water via inner lumen
• Outer lumen: dissolved sample
• No He chase gas (key difference w/ Hypersense)
Spinlab Polarizer: Fluid Path
41. Spinlab: Key Considerations
§ Many of the Hypersense points are pertinent here
1. Always check solid-state buildup
2. Always check temperature (0.8K)
§ Need to inspect fluid path before loading
1. Liquid/moisture in inner lumen à ice blockage
2. Sample vial not glued properly à vial ruptures
during dissolution
3. No output tube à can’t collect polarized solution
42. Hypersense SPINlab
Small volumes (5-300 µL) Large volumes (50 µL – 1500 µL)
5 min sample prep time 15 min sample prep time
~1L LHe / dissolution No LHe consumption
Shorter buildup time, lower polarization Longer buildup time, higher polarization
1 dissolution / hour (compound dependent) Up to 4 dissolutions / hour
24 hour duty cycle 12 hour duty cycle (+12 hour regen)
High Field Lab Surbeck Lab
Polarizer Comparison
45. [113C]pyruvate
40,000 increase in
MR signal at 3T1
1Ardenkjaer-Larsen et al. PNAS. 2003
2
Kurhanewicz et al. Neoplasia, 2011
3Nelson et al., STM, 2013
Clinical MR
Scanner Volume 13C MRI in
10’s of secs3
Inject i.v. –
Fast 13C
MRI
SPINlab Polarizer: Clinical Applications
46. Hyperpolarized 13C has been able to…
Measure pH in
tumors3
Measure cellular
transport rates6
Give indicator to
treatment response4
6Day et al. 20074Harris et al. 2009
Measure redox
potential7
Measure blood flow
and perfusion1,2
3Gallagher et al. 20082Ishii et al. 2007
Measure cardiac
ischemia5
5Golman et al. 20081Mansson et al. 2006 7Keshari et al. 2011
47. kPL
sec-1
0.016
0.004
0.008
Phase 2 Trial - 3D Dynamic HP 13C MRI in Patients Prior to and Following 6
months of Androgen Deprivation Therapy (ADT)
T2 wt. Image ADC Image
Overlaid kpl
Image
HP 13C spectral
Array
Pre-treatment
3 months post ADT (Lurpon + Casodex) + Doxcetaxel
Patient with Gleason 4+5 cancer and lymph node metasatses
50. Now that we have all this signal…
and all these probes…
how do we image them?
51. Take Home Messages
§DNP enables all of our pre-clinical and clinical metabolic studies
• Three main mechanisms: Solid Effect, Cross Effect, and Thermal Mixing
• Efficiency depends on lots of variables! EPR linewidth, B0, temperature,
electron and nuclear concentration, T1e and T1n, etc
§Polarizers are robust but care must be taken when operating
them
• Double check sample prep and the polarizer before dissolution
§When in doubt, don’t be afraid to ask for help
52. Further Reading: A Brief List
§ Design and Performance of a DNP Prepolarizer Coupled to a Rodent MRI
Scanner: https://onlinelibrary.wiley.com/doi/abs/10.1002/cmr.b.20099
§ Increase in signal-to-noise ratio of > 10,000 times in liquid-state NMR:
https://www.pnas.org/content/100/18/10158
§ Dynamic Nuclear Polarization Polarizer for Sterile Use Intent:
https://onlinelibrary.wiley.com/doi/full/10.1002/nbm.1682
§ NMR Spectroscopy Unchained - Attaining the Highest Signal Enhancements in
Dissolution Dynamic Nuclear Polarization:
https://pubs.acs.org/doi/10.1021/acs.jpclett.8b01687