Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral Imaging of Food Quality with VideometerLab3Adrian Waltho
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral imaging for Bioscience with VideometerLab 3Adrian Waltho
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral Imaging of Grains and Seeds with VideometerLab 3Adrian Waltho
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral Imaging of Heritage Artefacts with VideometerLab 3Adrian Waltho
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral imaging in Plant Sciences with VideometerLab 3Adrian Waltho
- Multispectral imaging uses specific wavelengths of light to analyze chemical, physical and spatial properties of samples non-destructively. It combines the strengths of spectroscopy and imaging.
- VideometerLab 3 is a multispectral imaging system that uses 19 LED lights to capture images across different wavelengths, providing more detailed information than standard RGB imaging. Each pixel contains spectral data that reveals chemical identities and their locations.
- Sophisticated software allows for advanced image processing, data analysis, and quantitative modeling to objectively analyze samples while requiring less complexity than hyperspectral imaging systems.
Multispectral imaging in Forensics with VideometerLab 3Adrian Waltho
This document describes the capabilities of the VideometerLab 3 Multi-Spectral Imaging system. It captures images of samples at multiple narrow wavelength bands, allowing differentiation of materials based on their spectral signatures. Statistical analysis tools help identify subtle differences. Applications include quality control, forensic analysis, and medical diagnostics. The system provides high resolution spectral data without the complexity and cost of hyperspectral imaging.
The presentation looks into the principle and uses of multi-spectral imaging (MSI) systems. Hyperspectral imaging, an extention of MSI was also covered herein. Moreover, the components of the system were highlighted with special attention paid to the detector (or image sensor). Finally, a few application in the Bioresource Engineering domain was covered
Python Library using impedance processingRishabh Garg
The present method consists of using impedance.py python library for fitting the circuit directly to the lab data. Accuracy metrics are yet to be improvised by adjusting the circuit model.
Multispectral Imaging of Food Quality with VideometerLab3Adrian Waltho
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral imaging for Bioscience with VideometerLab 3Adrian Waltho
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral Imaging of Grains and Seeds with VideometerLab 3Adrian Waltho
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral Imaging of Heritage Artefacts with VideometerLab 3Adrian Waltho
Multispectral imaging provides valuable information on the quality and safety of a vast array of materials from pharmaceuticals to raw meat and burned biscuits. The same techniques can be used to measure skin sensitivity to sticking plaster, detect counterfeit drugs and packaging and gain insight into historical artefacts such as medieval manuscripts and weapons.
The VideometerLab 3 takes 19 images at 19 specific wavelengths in ultraviolet, visible and infrared light. With multivariate statistical analysis we can reveal hidden patterns in our 19-dimension colour space and find information that would be otherwise 'invisible' to our human eyes.
Multispectral imaging in Plant Sciences with VideometerLab 3Adrian Waltho
- Multispectral imaging uses specific wavelengths of light to analyze chemical, physical and spatial properties of samples non-destructively. It combines the strengths of spectroscopy and imaging.
- VideometerLab 3 is a multispectral imaging system that uses 19 LED lights to capture images across different wavelengths, providing more detailed information than standard RGB imaging. Each pixel contains spectral data that reveals chemical identities and their locations.
- Sophisticated software allows for advanced image processing, data analysis, and quantitative modeling to objectively analyze samples while requiring less complexity than hyperspectral imaging systems.
Multispectral imaging in Forensics with VideometerLab 3Adrian Waltho
This document describes the capabilities of the VideometerLab 3 Multi-Spectral Imaging system. It captures images of samples at multiple narrow wavelength bands, allowing differentiation of materials based on their spectral signatures. Statistical analysis tools help identify subtle differences. Applications include quality control, forensic analysis, and medical diagnostics. The system provides high resolution spectral data without the complexity and cost of hyperspectral imaging.
The presentation looks into the principle and uses of multi-spectral imaging (MSI) systems. Hyperspectral imaging, an extention of MSI was also covered herein. Moreover, the components of the system were highlighted with special attention paid to the detector (or image sensor). Finally, a few application in the Bioresource Engineering domain was covered
Python Library using impedance processingRishabh Garg
The present method consists of using impedance.py python library for fitting the circuit directly to the lab data. Accuracy metrics are yet to be improvised by adjusting the circuit model.
Optimizing simulation results with your sim cube oscillometric nibp simulatorPronk Technologies
The SimCube NIBP simulator provides accurate NIBP simulation in an amazingly convenient, rugged, and affordable package. As you use your simulator on various patient monitors it is important to understand what sort of results to expect, what they mean, and how to optimize them.
Optimizing Simulation Results With Your SimCube Oscillometric NIBP SimulatorPronk Technologies
The SimCube NIBP simulator provides
accurate NIBP simulation in an amazingly
convenient, rugged, and affordable package. As you
use your simulator on various patient monitors it is
important to understand what sort of results to expect,
what they mean, and how to optimize them.
Rapid Characterization of Multiple Regions of Interest in a Sample Using Auto...PerkinElmer, Inc.
IR microscopy is a well-established analytical technique for the measurement and identification of small samples down to a few micrometers in size. It is used extensively in the polymer, pharmaceutical, chemical, food, and electronics industries, to name a few, often identifying small contaminations or foreign objects of unknown origin. In forensic applications small particles of materials such as drugs, paint chips, residues or fibers are often collected as evidence and analyzed by IR microscopy. The type and size of the material, as well as the matrix in which the sample is contained, will dictate the
type of IR microscopy sampling technique to be deployed; transmission, reflectance, or ATR. The Spotlight™ 200i IR microscope is a fully automated system comprising:
• Automated X, Y, Z stage
• Automatic illxumination LEDs
• Autofocus
• Auto correction
• Automated switching between transmission and reflectance
• Automated dropdown ATR crystal
All of these features are controlled using the Spectrum 10 software.
The document summarizes point-of-care and self-monitoring coagulation analyzers, including details on their features, testing capabilities, and advantages. It discusses manufacturers emphasizing analyzers' accuracy and convenience through attributes like clinical data showing consistent results between lab and point-of-care tests, room-temperature stable test strips, and systems that automate heparin dosing calculations. The summary also notes vendors highlighting connectivity through wireless data transfer and interfaces to laboratory information systems.
This document presents a method for inspecting and classifying defects in pharmaceutical capsules using neural networks. Harris algorithm is used to detect defects by comparing test capsule images to template images and marking differences. Detected defects are classified using a neural network trained on threshold values extracted from defective areas. The neural network achieved 97.9% accuracy in training, 100% in validation, and 94.2% in real-time testing, demonstrating the method can effectively automate capsule inspection.
This document presents a method for inspecting and classifying defects in pharmaceutical capsules using neural networks. Harris algorithm is used to detect defects by comparing test capsule images to template images and marking differences. Detected defects are classified using a neural network trained on threshold values extracted from defective areas. The neural network was trained and validated with over 90% accuracy and classified 4 defect types with 94.2% accuracy on real capsule images. The proposed automated inspection system could improve quality control in pharmaceutical manufacturing.
IRJET-Automatic RBC And WBC Counting using Watershed Segmentation AlgorithmIRJET Journal
This document presents a method for automatically counting red blood cells (RBCs) and white blood cells (WBCs) using image processing techniques. It discusses the limitations of conventional manual counting methods and proposes a software-based watershed segmentation algorithm to segment and count blood cells from microscope images. The algorithm involves preprocessing the image, applying filters, segmenting cells using markers and boundaries, and counting the segmented cells. Experimental results found the automatic method took 14.43 seconds on average and achieved 94.58% accuracy, faster and more accurate than manual counting. This software-based solution provides a low-cost alternative for blood cell analysis in medical laboratories.
Adulteration measuring device for different kind of solutionsNidhikashyap26
This document describes a proposed system for measuring adulteration in milk samples using non-contact spectrophotometry. The system uses an Arduino, TSL2561 light sensor, and laser to measure light intensity changes caused by different adulterants in milk samples. Literature on other milk adulteration detection methods is also reviewed, noting limitations such as bulkiness and inability to detect certain adulterants. Experimental results show ADC values can indicate adulteration levels for various adulterants like water, glucose and detergent in cow and buffalo milk. The system provides a low-cost way to detect milk adulteration without direct contact with samples.
Athenese-Dx specializes in the research, development, manufacture, and marketing of in vitro diagnostic tests and Instruments. Our state-of-the-art facility is based in Chennai, India. Continuous innovation drives us forward. Our dedicated scientists are developing high quality IVD tests in Clinical Chemistry, Rapid Test, ELISA, Fluorescence Immunoassay, Molecular Diagnostics, and Instruments. Our R&D Unit is recognized by the Department of Scientific and Industrial Research (DSIR)
ADX has grown from “ importing for India”, “Made in India for India”, to “Made in India for world”. Our ultimate goal is to bring innovative diagnostic tests at the highest quality to the world market. We reach our customers by combining the skills of our sales force with a network of distributors and strategic partners. We have proven track records of delivering quality products and empowering clinicians to make healthcare decision faster and more accurate.
This document describes an automated system for continuously monitoring metabolite concentrations as an alternative to expensive and labour-intensive traditional methods like HPLC. Key aspects of the system include:
- An image processing and response system that takes images of cell cultures, analyzes metabolite levels based on color changes, and provides feedback signals to control culture conditions.
- A culture management system that regulates yeast growth rates and determines metabolite levels from images, allowing continuous monitoring of samples at low cost compared to methods like HPLC.
- The system was tested using a modified violacein pathway in yeast that produces different colored metabolites, providing color indicators to monitor metabolite levels through image analysis.
The document discusses CyFlow®, a portable flow cytometer for HIV/AIDS monitoring and patient follow-up. Some key points:
- CyFlow® uses dry reagent kits that eliminate the need for cold storage, making it suitable for resource-limited areas. It can perform CD4, CD4%, and total lymphocyte counts rapidly from whole blood.
- An optional autopreparation and autoloading station allows processing of up to 400 samples per day.
- Dry reagent kits have a 6-month shelf life and reduce costs by simplifying transport and storage compared to conventional kits.
- Partec also offers dry/lyophilized control blood samples for quality control and external quality
International Journal of Research in Engineering and Science is an open access peer-reviewed international forum for scientists involved in research to publish quality and refereed papers. Papers reporting original research or experimentally proved review work are welcome. Papers for publication are selected through peer review to ensure originality, relevance, and readability.
The document discusses jidoka, which refers to automation with a human touch. It describes how Sakichi Toyoda invented automatic looms that could detect errors like thread breakage and stop themselves to prevent defective products. This allowed one operator to oversee multiple looms, improving productivity. The Toyota term "jidoka" refers to machines that can make judgments, unlike regular automation which simply moves. Jidoka aims to have machines detect and stop production of single defective parts.
ALCOHOL DETECTION AND ENGINE LOCKING SYSTEM USING ARDUINO UNOIRJET Journal
This document describes a system to detect alcohol levels in a driver's breath and prevent vehicle operation if intoxicated. The system uses an MQ-6 alcohol sensor connected to an Arduino Uno microcontroller. If the sensor detects alcohol levels above a threshold, the Arduino triggers a buzzer and disables a simulated vehicle engine. The system is a prototype that demonstrates automatically locking the engine if high alcohol is detected to prevent drunk driving. It provides safety by not allowing operation of the vehicle when the driver has consumed alcohol over the legal limit.
Online Detection of Shutdown Periods in Chemical Plants: A Case StudyManuel Martín
In process industry, chemical processes are controlled and monitored by using readings from multiple physical sensors across the plants. Such physical sensors are also supplemented by soft sensors, i.e. adaptive predictive models, which are often used for computing hard-to-measure variables of the process. For soft sensors to work well and adapt to changing operating conditions they need to be provided with relevant data. As production plants are regularly stopped, data instances generated during shutdown periods have to be identified to avoid updating these predictive models with wrong data. We present a case study concerned with a large chemical plant operation over a 2 years period. The task is to robustly and accurately identify the shutdown periods even in case of multiple sensor failures. State-of-the-art methods were evaluated using the first half of the dataset for calibration purposes and the other half for measuring the performance. Results show that shutdowns (i.e. sudden changes) can be quickly detected in any case but the detection delay of startups (i.e. gradual changes) is directly related with the choice of a window size.
This document provides specifications for several hematology analyzers from Abbott and Beckman Coulter. The Abbott CELL-DYN Sapphire, Ruby, and Emerald analyzers offer standard hematology testing plus additional parameters like MPV and RDW. They have precision generally within 3% and accuracy compared to manual differentials with r-values greater than 0.9 for most cell types. The Beckman Coulter UniCel DxH 800, LH 1500, and LH 780 analyzers also provide standard results with extra tests such as reticulated red blood cell percentage. They allow for user-defined reference ranges and sensitivity settings. Both companies' instruments have limitations from substances like cryoglobulins,
IRJET - A Smartphone ALS based Syringe System for Colorimetric Detection of C...IRJET Journal
This document describes a study that developed a smartphone-based system for detecting creatinine levels using a syringe and detection module attached to the smartphone's ambient light sensor. The syringe contained reagents to perform the Jaffe reaction for creatinine and was used to inject samples into the detection module. Standards were used to create a calibration curve relating creatinine concentration to changes in light intensity measured by the ambient light sensor. Results from the smartphone system agreed with those from a conventional spectrophotometer. The system provides a low-cost point-of-care method for measuring creatinine levels.
Monitoring Released N-Glycans in Biopharma Development/QC with Fluorescence &...Waters Corporation
Learn how new technologies from Waters, the RapiFluor-MS Labeling Reagent and the ACQUITY QDa Mass Detector, enable biopharmaceutical development and QC labs to monitor released N-glycans with complementary fluorescence and mass detection. http://www.waters.com/glycans
The VISpION sensor system uses fractal analysis to greatly improve optical sensing capabilities for material analysis, quality control, and process analysis. It can identify patterns in chaotic surfaces and processes faster, more accurately, and at lower cost than conventional sensors. The system is versatile, easy to adapt to different applications, and stores and displays analysis data in real time. It was developed over many years and through over 30 patented inventions to be a single, universal solution for industrial and scientific sensing applications.
(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.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
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The SimCube NIBP simulator provides accurate NIBP simulation in an amazingly convenient, rugged, and affordable package. As you use your simulator on various patient monitors it is important to understand what sort of results to expect, what they mean, and how to optimize them.
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The SimCube NIBP simulator provides
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Rapid Characterization of Multiple Regions of Interest in a Sample Using Auto...PerkinElmer, Inc.
IR microscopy is a well-established analytical technique for the measurement and identification of small samples down to a few micrometers in size. It is used extensively in the polymer, pharmaceutical, chemical, food, and electronics industries, to name a few, often identifying small contaminations or foreign objects of unknown origin. In forensic applications small particles of materials such as drugs, paint chips, residues or fibers are often collected as evidence and analyzed by IR microscopy. The type and size of the material, as well as the matrix in which the sample is contained, will dictate the
type of IR microscopy sampling technique to be deployed; transmission, reflectance, or ATR. The Spotlight™ 200i IR microscope is a fully automated system comprising:
• Automated X, Y, Z stage
• Automatic illxumination LEDs
• Autofocus
• Auto correction
• Automated switching between transmission and reflectance
• Automated dropdown ATR crystal
All of these features are controlled using the Spectrum 10 software.
The document summarizes point-of-care and self-monitoring coagulation analyzers, including details on their features, testing capabilities, and advantages. It discusses manufacturers emphasizing analyzers' accuracy and convenience through attributes like clinical data showing consistent results between lab and point-of-care tests, room-temperature stable test strips, and systems that automate heparin dosing calculations. The summary also notes vendors highlighting connectivity through wireless data transfer and interfaces to laboratory information systems.
This document presents a method for inspecting and classifying defects in pharmaceutical capsules using neural networks. Harris algorithm is used to detect defects by comparing test capsule images to template images and marking differences. Detected defects are classified using a neural network trained on threshold values extracted from defective areas. The neural network achieved 97.9% accuracy in training, 100% in validation, and 94.2% in real-time testing, demonstrating the method can effectively automate capsule inspection.
This document presents a method for inspecting and classifying defects in pharmaceutical capsules using neural networks. Harris algorithm is used to detect defects by comparing test capsule images to template images and marking differences. Detected defects are classified using a neural network trained on threshold values extracted from defective areas. The neural network was trained and validated with over 90% accuracy and classified 4 defect types with 94.2% accuracy on real capsule images. The proposed automated inspection system could improve quality control in pharmaceutical manufacturing.
IRJET-Automatic RBC And WBC Counting using Watershed Segmentation AlgorithmIRJET Journal
This document presents a method for automatically counting red blood cells (RBCs) and white blood cells (WBCs) using image processing techniques. It discusses the limitations of conventional manual counting methods and proposes a software-based watershed segmentation algorithm to segment and count blood cells from microscope images. The algorithm involves preprocessing the image, applying filters, segmenting cells using markers and boundaries, and counting the segmented cells. Experimental results found the automatic method took 14.43 seconds on average and achieved 94.58% accuracy, faster and more accurate than manual counting. This software-based solution provides a low-cost alternative for blood cell analysis in medical laboratories.
Adulteration measuring device for different kind of solutionsNidhikashyap26
This document describes a proposed system for measuring adulteration in milk samples using non-contact spectrophotometry. The system uses an Arduino, TSL2561 light sensor, and laser to measure light intensity changes caused by different adulterants in milk samples. Literature on other milk adulteration detection methods is also reviewed, noting limitations such as bulkiness and inability to detect certain adulterants. Experimental results show ADC values can indicate adulteration levels for various adulterants like water, glucose and detergent in cow and buffalo milk. The system provides a low-cost way to detect milk adulteration without direct contact with samples.
Athenese-Dx specializes in the research, development, manufacture, and marketing of in vitro diagnostic tests and Instruments. Our state-of-the-art facility is based in Chennai, India. Continuous innovation drives us forward. Our dedicated scientists are developing high quality IVD tests in Clinical Chemistry, Rapid Test, ELISA, Fluorescence Immunoassay, Molecular Diagnostics, and Instruments. Our R&D Unit is recognized by the Department of Scientific and Industrial Research (DSIR)
ADX has grown from “ importing for India”, “Made in India for India”, to “Made in India for world”. Our ultimate goal is to bring innovative diagnostic tests at the highest quality to the world market. We reach our customers by combining the skills of our sales force with a network of distributors and strategic partners. We have proven track records of delivering quality products and empowering clinicians to make healthcare decision faster and more accurate.
This document describes an automated system for continuously monitoring metabolite concentrations as an alternative to expensive and labour-intensive traditional methods like HPLC. Key aspects of the system include:
- An image processing and response system that takes images of cell cultures, analyzes metabolite levels based on color changes, and provides feedback signals to control culture conditions.
- A culture management system that regulates yeast growth rates and determines metabolite levels from images, allowing continuous monitoring of samples at low cost compared to methods like HPLC.
- The system was tested using a modified violacein pathway in yeast that produces different colored metabolites, providing color indicators to monitor metabolite levels through image analysis.
The document discusses CyFlow®, a portable flow cytometer for HIV/AIDS monitoring and patient follow-up. Some key points:
- CyFlow® uses dry reagent kits that eliminate the need for cold storage, making it suitable for resource-limited areas. It can perform CD4, CD4%, and total lymphocyte counts rapidly from whole blood.
- An optional autopreparation and autoloading station allows processing of up to 400 samples per day.
- Dry reagent kits have a 6-month shelf life and reduce costs by simplifying transport and storage compared to conventional kits.
- Partec also offers dry/lyophilized control blood samples for quality control and external quality
International Journal of Research in Engineering and Science is an open access peer-reviewed international forum for scientists involved in research to publish quality and refereed papers. Papers reporting original research or experimentally proved review work are welcome. Papers for publication are selected through peer review to ensure originality, relevance, and readability.
The document discusses jidoka, which refers to automation with a human touch. It describes how Sakichi Toyoda invented automatic looms that could detect errors like thread breakage and stop themselves to prevent defective products. This allowed one operator to oversee multiple looms, improving productivity. The Toyota term "jidoka" refers to machines that can make judgments, unlike regular automation which simply moves. Jidoka aims to have machines detect and stop production of single defective parts.
ALCOHOL DETECTION AND ENGINE LOCKING SYSTEM USING ARDUINO UNOIRJET Journal
This document describes a system to detect alcohol levels in a driver's breath and prevent vehicle operation if intoxicated. The system uses an MQ-6 alcohol sensor connected to an Arduino Uno microcontroller. If the sensor detects alcohol levels above a threshold, the Arduino triggers a buzzer and disables a simulated vehicle engine. The system is a prototype that demonstrates automatically locking the engine if high alcohol is detected to prevent drunk driving. It provides safety by not allowing operation of the vehicle when the driver has consumed alcohol over the legal limit.
Online Detection of Shutdown Periods in Chemical Plants: A Case StudyManuel Martín
In process industry, chemical processes are controlled and monitored by using readings from multiple physical sensors across the plants. Such physical sensors are also supplemented by soft sensors, i.e. adaptive predictive models, which are often used for computing hard-to-measure variables of the process. For soft sensors to work well and adapt to changing operating conditions they need to be provided with relevant data. As production plants are regularly stopped, data instances generated during shutdown periods have to be identified to avoid updating these predictive models with wrong data. We present a case study concerned with a large chemical plant operation over a 2 years period. The task is to robustly and accurately identify the shutdown periods even in case of multiple sensor failures. State-of-the-art methods were evaluated using the first half of the dataset for calibration purposes and the other half for measuring the performance. Results show that shutdowns (i.e. sudden changes) can be quickly detected in any case but the detection delay of startups (i.e. gradual changes) is directly related with the choice of a window size.
This document provides specifications for several hematology analyzers from Abbott and Beckman Coulter. The Abbott CELL-DYN Sapphire, Ruby, and Emerald analyzers offer standard hematology testing plus additional parameters like MPV and RDW. They have precision generally within 3% and accuracy compared to manual differentials with r-values greater than 0.9 for most cell types. The Beckman Coulter UniCel DxH 800, LH 1500, and LH 780 analyzers also provide standard results with extra tests such as reticulated red blood cell percentage. They allow for user-defined reference ranges and sensitivity settings. Both companies' instruments have limitations from substances like cryoglobulins,
IRJET - A Smartphone ALS based Syringe System for Colorimetric Detection of C...IRJET Journal
This document describes a study that developed a smartphone-based system for detecting creatinine levels using a syringe and detection module attached to the smartphone's ambient light sensor. The syringe contained reagents to perform the Jaffe reaction for creatinine and was used to inject samples into the detection module. Standards were used to create a calibration curve relating creatinine concentration to changes in light intensity measured by the ambient light sensor. Results from the smartphone system agreed with those from a conventional spectrophotometer. The system provides a low-cost point-of-care method for measuring creatinine levels.
Monitoring Released N-Glycans in Biopharma Development/QC with Fluorescence &...Waters Corporation
Learn how new technologies from Waters, the RapiFluor-MS Labeling Reagent and the ACQUITY QDa Mass Detector, enable biopharmaceutical development and QC labs to monitor released N-glycans with complementary fluorescence and mass detection. http://www.waters.com/glycans
The VISpION sensor system uses fractal analysis to greatly improve optical sensing capabilities for material analysis, quality control, and process analysis. It can identify patterns in chaotic surfaces and processes faster, more accurately, and at lower cost than conventional sensors. The system is versatile, easy to adapt to different applications, and stores and displays analysis data in real time. It was developed over many years and through over 30 patented inventions to be a single, universal solution for industrial and scientific sensing applications.
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Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577