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Image-based Flow Cytometry Technique to Evaluate Changes in Granulocyte Function In Vitro
Published on: December 26, 2014
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Flow cytometry what you see matters: Enhanced clinical detection using image-based flow cytometry
Brian K McFarlin1, Melody A Gary2
1University of North Texas, Applied Physiology Laboratory, United States; University of North Texas, Department of Biological Sciences, United States.
Methods (San Diego, Calif.)
|September 14, 2016
Summary
Image-based flow cytometry enhances traditional methods by adding visual data, enabling novel insights into diseases and various scientific applications. This technique offers unique cellular measurements for advanced research.
Area of Science:
- Biotechnology
- Cell Biology
- Analytical Chemistry
Background:
- Traditional flow cytometry offers high throughput but lacks visual data.
- Image-based flow cytometry integrates microscopy for enhanced cellular analysis.
- This advanced technique enables the collection of unique cellular measurements.
Purpose of the Study:
- To review the significant advancements and applications of image-based flow cytometry.
- To highlight the novel assays developed using this technology for disease monitoring.
- To showcase the diverse applications beyond clinical research.
Main Methods:
- Leveraging image-based flow cytometry principles.
- Integrating microscopy-derived measurement parameters and analysis.
- Reviewing scientific literature on image-based flow cytometry.
Main Results:
- Image-based flow cytometry allows unique measurements like nuclear translocation and co-localization.
- Novel assays have been developed for clinical condition and chronic disease monitoring.
- Applications extend to marine biology, nanotechnology, and pharmaceutical quality control.
Conclusions:
- Image-based flow cytometry provides unparalleled insights by combining high throughput with visual data.
- The technique facilitates the development of innovative diagnostic and research tools.
- Its versatility supports advancements across multiple scientific disciplines.
Keywords:
ApoptosisCancerCellular heterogeneityClinical applicationsDiet-induced weight gainEndocrineExerciseFlowSightHematopoiesisImage-based flow cytometryImageStreamInflammationMuscle damageNutritionObesityResistance trainingSkeletal muscle maturationT-cellTropical diseaseType II diabetes, cardiovascular disease
