1) Photonic crystal nanostructures combine optical tweezers and MEMS resonators to allow trapping and precise mass measurements of cells.
2) MEMS resonators detect resonant frequency changes to measure cell mass, while photonic tweezers fix cell position with low light intensity, enabling study of biophysical properties.
3) A detection system using a split photodiode and detection circuitry was built to measure resonant frequencies by converting the output current from vibrating resonators hitting the photodiode into a voltage for viewing and measuring frequencies.
A review on the paper "The study of bio-electricity in plants and their application as power sources" by Yifan Xu, Danqin Feng, Jiangsu Tianyi High School
This Powerpoint presentation consists of the bio sensing applications and their study. the results that are included are taken from the base paper with in depth study
A review on the paper "The study of bio-electricity in plants and their application as power sources" by Yifan Xu, Danqin Feng, Jiangsu Tianyi High School
This Powerpoint presentation consists of the bio sensing applications and their study. the results that are included are taken from the base paper with in depth study
REACT: Real-time EEG Analysis for Event DetectionRobert McEvoy
The REACT technology is used for automatic, real-time detection of neurological events. Our focus in this work is on seizure detection, in both neonates and adults. We present three demonstrators of REACT in clinical, laboratory and ambulatory scenarios.
How Plants Avoid Sunburn: Findings Could Lead to Crops With Increased Protection from Bright Light and Enhanced Photosynthesis and- Cell MemoryMechanism Discovered
The science of Laser therapy expands research on malignancies and treatment methodology. An intruiging detail of advancement as shared by George Kiblor in this presentation shows how.
Optimal interdigitated electrode sensor design for biosensors using multi-obj...IJECEIAES
Interdigitated electrodes (IDEs) are commonly employed in biological cellular characterization techniques such as electrical cell-substrate impedance sensing (ECIS). Because of its simple production technique and low cost, interdigitated electrode sensor design is critical for practical impedance spectroscopy in the medical and pharmaceutical domains. The equivalent circuit of an IDE was modeled in this paper, it consisted of three primary components: double layer capacitance, Cdl, solution capacitance, CSol, and solution resistance, RSol. One of the challenging optimization challenges is the geometric optimization of the interdigital electrode structure of a sensor. We employ metaheuristic techniques to identify the best answer to problems of this kind. multi-objective optimization of the IDE using multi-objective particle swarm optimization (MOPSO) was achieved to maximize the sensitivity of the electrode and minimize the Cut-off frequency. The optimal geometrical parameters determined during optimization are used to build the electrical equivalent circuit. The amplitude and phase of the impedance versus frequency analysis were calculated using EC-LAB® software, and the corresponding conductivity was determined.
A Novel Approach for Measuring Electrical Impedance Tomography for Local Tiss...CSCJournals
This paper proposes a novel approach for measuring Electrical Impedance Tomography (EIT) of a living tissue in a human body. EIT is a non-invasive technique to measure two or three-dimensional impedance for medical diagnosis involving several diseases. To measure the impedance value electrodes are connected to the skin of the patient and an image of the conductivity or permittivity of living tissue is deduced from surface electrodes. The determination of local impedance parameters can be carried out using an equivalent circuit model. However, the estimation of inner tissue impedance distribution using impedance measurements on a global tissue from various directions is an inverse problem. Hence it is necessary to solve the inverse problem of calculating mathematical values for current and potential from conducting surfaces. This paper proposes a novel algorithm that can be successfully used for estimating parameters. The proposed novel hybrid model is a combination of an artificial intelligence based gradient free optimization technique and numerical integration. This ameliorates the achievement of spatial resolution of equivalent circuit model to the closest accuracy. We address the issue of initial parameter estimation and spatial resolution accuracy of an electrode structure by using an arrangement called “divided electrode” for measurement of bio-impedance in a cross section of a local tissue.
Piezoelectricity electricity generation by vibrationtare
1. Introduction
2.How its works
3. literature review
4. Components used
5. Advantages and Disadvantages
6. Cost estimation
7. Result
8. Conclusion
9. References
10. Thank you
The Wonderful World of Scanning Electrochemical Microscopy (SECM)InsideScientific
To watch the webinar, go to:
https://insidescientific.com/webinar/the-wonderful-world-of-scanning-electrochemical-microscopy-secm/
In this webinar, Dr. Janine Mauzeroll discusses the fundamentals, critical experimental parameters and recent applications for scanning electrochemical Microscopy (SECM).
In its simplest form, SECM is a scanning probe technique in which a small-scale electrode is scanned across an immersed substrate while recording the current response. This response is dependent on both the surface topography and the electrochemical activity of the substrate. Consequently, using an array of operational modes, a wide variety of substrates and experimental systems can be characterized. The strength of SECM lies in its ability to quantify material flux from a surface with a high spatial and temporal resolution. It has been used in a variety of applications fields.
Dr. Janine Mauzeroll describes the fundamentals of SECM, including the required instrumentation and the principles of the most frequently used operational modes. Following this basic understanding of SECM principles, she then moves towards a comprehensive summary of the critical parameters for any SECM experiment. Specifically, she discusses in detail redox mediators, probes, and solvent systems that are used in SECM experiments. Finally, she presents recent applications of SECM with an emphasis on her work in the last five years related to material characterization, corrosion and batteries.
REACT: Real-time EEG Analysis for Event DetectionRobert McEvoy
The REACT technology is used for automatic, real-time detection of neurological events. Our focus in this work is on seizure detection, in both neonates and adults. We present three demonstrators of REACT in clinical, laboratory and ambulatory scenarios.
How Plants Avoid Sunburn: Findings Could Lead to Crops With Increased Protection from Bright Light and Enhanced Photosynthesis and- Cell MemoryMechanism Discovered
The science of Laser therapy expands research on malignancies and treatment methodology. An intruiging detail of advancement as shared by George Kiblor in this presentation shows how.
Optimal interdigitated electrode sensor design for biosensors using multi-obj...IJECEIAES
Interdigitated electrodes (IDEs) are commonly employed in biological cellular characterization techniques such as electrical cell-substrate impedance sensing (ECIS). Because of its simple production technique and low cost, interdigitated electrode sensor design is critical for practical impedance spectroscopy in the medical and pharmaceutical domains. The equivalent circuit of an IDE was modeled in this paper, it consisted of three primary components: double layer capacitance, Cdl, solution capacitance, CSol, and solution resistance, RSol. One of the challenging optimization challenges is the geometric optimization of the interdigital electrode structure of a sensor. We employ metaheuristic techniques to identify the best answer to problems of this kind. multi-objective optimization of the IDE using multi-objective particle swarm optimization (MOPSO) was achieved to maximize the sensitivity of the electrode and minimize the Cut-off frequency. The optimal geometrical parameters determined during optimization are used to build the electrical equivalent circuit. The amplitude and phase of the impedance versus frequency analysis were calculated using EC-LAB® software, and the corresponding conductivity was determined.
A Novel Approach for Measuring Electrical Impedance Tomography for Local Tiss...CSCJournals
This paper proposes a novel approach for measuring Electrical Impedance Tomography (EIT) of a living tissue in a human body. EIT is a non-invasive technique to measure two or three-dimensional impedance for medical diagnosis involving several diseases. To measure the impedance value electrodes are connected to the skin of the patient and an image of the conductivity or permittivity of living tissue is deduced from surface electrodes. The determination of local impedance parameters can be carried out using an equivalent circuit model. However, the estimation of inner tissue impedance distribution using impedance measurements on a global tissue from various directions is an inverse problem. Hence it is necessary to solve the inverse problem of calculating mathematical values for current and potential from conducting surfaces. This paper proposes a novel algorithm that can be successfully used for estimating parameters. The proposed novel hybrid model is a combination of an artificial intelligence based gradient free optimization technique and numerical integration. This ameliorates the achievement of spatial resolution of equivalent circuit model to the closest accuracy. We address the issue of initial parameter estimation and spatial resolution accuracy of an electrode structure by using an arrangement called “divided electrode” for measurement of bio-impedance in a cross section of a local tissue.
Piezoelectricity electricity generation by vibrationtare
1. Introduction
2.How its works
3. literature review
4. Components used
5. Advantages and Disadvantages
6. Cost estimation
7. Result
8. Conclusion
9. References
10. Thank you
The Wonderful World of Scanning Electrochemical Microscopy (SECM)InsideScientific
To watch the webinar, go to:
https://insidescientific.com/webinar/the-wonderful-world-of-scanning-electrochemical-microscopy-secm/
In this webinar, Dr. Janine Mauzeroll discusses the fundamentals, critical experimental parameters and recent applications for scanning electrochemical Microscopy (SECM).
In its simplest form, SECM is a scanning probe technique in which a small-scale electrode is scanned across an immersed substrate while recording the current response. This response is dependent on both the surface topography and the electrochemical activity of the substrate. Consequently, using an array of operational modes, a wide variety of substrates and experimental systems can be characterized. The strength of SECM lies in its ability to quantify material flux from a surface with a high spatial and temporal resolution. It has been used in a variety of applications fields.
Dr. Janine Mauzeroll describes the fundamentals of SECM, including the required instrumentation and the principles of the most frequently used operational modes. Following this basic understanding of SECM principles, she then moves towards a comprehensive summary of the critical parameters for any SECM experiment. Specifically, she discusses in detail redox mediators, probes, and solvent systems that are used in SECM experiments. Finally, she presents recent applications of SECM with an emphasis on her work in the last five years related to material characterization, corrosion and batteries.
Modeling and Simulation of Bone Healing Through Electrical Stimulation Vishal Kheni
Conducting a literature study on the bioelectric properties of bone, electromagnetic bone stimulation, and numerical modeling of bioelectric problems in the low-frequency regime.
Resonance frequency analysis of laser optical fiber based on microcantileverIJECEIAES
The normal frequency of smart beams was originated utilizing FEM [Ansys and Comsol] code for first five modes by varying the position of actuator from the fixed end of the structure, and it has a suitable arrangement with analytically found the standard frequency. This paper includes learning a resonance frequency analysis of laser optical fiber based on microcantilever of designing magnetic actuator using Ansys and Comsol simulation. The design of optical fiber includes Nickel cantilever, two magnets and one coil that apply to force on the cantilever. After the current flows in the coil domain, the shape of microcantilever will be deformed. It will move to z- direction that depends on the force direction. Two methods including, Comsol Multiphysics, Ansys and analytical equations have been utilized to calculate the resonance frequency, current and force values. The simulation results include calculating the current (magnetic current density) and effects of the magnetic field of the coil on the cantilever (force calculation). Utilizing this method is to limit faults(errors) of optical fiber laser between transmitter and receiver system (detection system) for any time of cutting coil when the signal of a laser passes through the coil. In conculsions, resonant frequency (f_n) tuning using cantilivier presented in the resrach have larger variable range by using simulations. However,the adjusting of the system and changing the deminsions.Resolutions to this problematic contain tuning the modes of resonant frequency to produce by cantilivier with 2-magnets and coil when the signal pass from laser source. Based on these simulations and characterization results, the proposed assembly can be a good applicant for evolving a low price, high material platform for many biological, laser optical fiber, communication, machine learning, biosensors and biomedical applications.
1. Optical Resonant Frequency Detection Systemfor Mass-
Sensing MEMS Resonators
NNIN REU Intern: Kasia Gibson, Bioengineering, Northeastern University
NNIN Principal Investigator: Lih Y. Lin, Electrical Engineering, University of Washington-Seattle
NNIN Mentors:
Ethan Keeler,Electrical Engineering, University of Washington-Seattle
Peifeng Jing, Electrical Engineering, University of Washington-Seattle
Conner Ballew, Electrical Engineering, University of Washington-Seattle
Jingda Wu, Electrical Engineering, University of Washington-Seattle
Contacts:Gibson.kasia@gmail.com, lylin@uw.edu, e.keeler@live.com, peifengjing@gmail.com,
ckballew@uw.edu, albuswu@gmail.com
Abstract
Photonic crystal nanostructures are essential in combining two important technologies: optical
tweezers and MEMS resonators to allow effective trapping and enhanced-precision
measurements of cell mass. MEMS resonators measures the cell mass by detecting the resonant
frequency change of the resonant beam. Photonic crystal optical tweezers are applied to improve
the mass sensing capability of MEMS resonators by fixing the cell position with low light
intensity. This enables the investigation of a cell’s biophysical properties. A detection system
consists of a split photodiode and detection circuitry was built to measure the resonant
frequency of a micro-machined resonator. A laser beam incidents onto the vibrating resonator
and produces an optical deflection signal (ideally resembling a sinusoidal wave) upon hitting the
split photodiode. By using the circuit design software, Multisim, an effective circuit schematic
was created that would convert the output current of both photodiodes to an adequate voltage to
effectively view and measure the resonant frequency. During this process, simulations were
conducted, so that the behavior of the circuit could be predicted, before actual assembly. With
the usage of an Arduino microcontroller and programming software, the frequency of the
circuit’s sinusoidal wave could then be measured.