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.
【저자키워드】 Apoptosis, Inflammation, exercise, obesity, nutrition, Cancer, Clinical applications, muscle damage, T-cell, Endocrine, tropical disease, Resistance training, Hematopoiesis, cellular heterogeneity, Diet-induced weight gain, FlowSight, Image-based flow cytometry, ImageStream, Skeletal muscle maturation, Type II diabetes, cardiovascular disease,