Flow cytometry what you see matters: Enhanced clinical detection using image-based flow cytometry.
Image-based flow cytometry combines the throughput of traditional flow cytometry with the ability to visually confirm findings and collect novel data that would not be possible otherwise. Since image-based flow cytometry borrows measurement parameters and analysis techniques from microscopy, it is possible to collect unique measures (i.e. nuclear translocation, co-localization, cellular synapse, cellular endocytosis, etc.) that would not be possible with traditional flow cytometry. The ability to collect unique outcomes has led many researchers to develop novel assays for the monitoring and detection of a variety of clinical conditions and diseases. In many cases, investigators have innovated and expanded classical assays to provide new insight regarding clinical conditions and chronic disease. Beyond human clinical applications, image-based flow cytometry has been used to monitor marine biology changes, nano-particles for solar cell production, and particle quality in pharmaceuticals. This review article summarizes work from the major scientists working in the field of image-based flow cytometry.
University of North Texas, Applied Physiology Laboratory, United States; University of North Texas, Department of Biological Sciences, United States. Electronic address: brian.mcfarlin@unt.edu.
Brian K
BK
McFarlin
University of North Texas, Applied Physiology Laboratory, United States.
Melody A
MA
Gary
D017209:Apoptosis; D001343:Autophagy; D002450:Cell Communication; D000067128:Extracellular Vesicles / Q000648:ultrastructure; D005434:Flow Cytometry / Q000295:instrumentation / Q000379:methods*; D006098:Granulocytes / Q000378:metabolism / Q000473:pathology; D006410:Hematopoiesis / Q000235:genetics; D006801:Humans; D019044:Image Cytometry / Q000295:instrumentation / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008288:Malaria / Q000175:diagnosis* / Q000469:parasitology / Q000473:pathology; D008533:Megakaryocytes / Q000378:metabolism / Q000473:pathology; D008853:Microscopy / Q000295:instrumentation / Q000379:methods*; D010974:Platelet Aggregation / Q000502:physiology; D011874:Radiometry / Q000379:methods
Apoptosis; Cancer; Cellular heterogeneity; Clinical applications; Diet-induced weight gain; Endocrine; Exercise; FlowSight; Hematopoiesis; Image-based flow cytometry; ImageStream; Inflammation; Muscle damage; Nutrition; Obesity; Resistance training; Skeletal muscle maturation; T-cell; Tropical disease; Type II diabetes, cardiovascular disease