Hoechst side population analysis is a valuable flow cytometry technique for the identification, enrichment, and purification of stem cells and early progenitors in a variety of human and non-human ...

Discover how the automation of flow cytometry is transforming cancer diagnosis and treatment for breast, prostate, endometrial, pancreatic, kidney, and melanoma cancers. Explore the latest ...

Emiri Nakamura and Professor Koji Eto (Department of Clinical Application) has identified microtubule (MT) destabilization as ...

Flow cytometry systems are large units that can provide real-time analysis of thousands of cells every second. Cells are carried and aligned to pass through a light beam single file, then measured ...

Fred Hutch researchers have created a gene-expression map of glial cells of the tiny worm, C. elegans, adding the missing ...

This is a useful study in the role of CHI3L1 in Kupffer cells, the macrophages of the liver, showing that CHI3L1 alters glucose regulation in obesity. Specifically, Chi3l1 protects glucose-dependent ...

Patient flow forecasting is based on the conversion of incident data, primarily data on new patient starts, into prevalent data, which represents the total number of patients on treatment.

National security authorities and members of Congress are raising alarm over the alleged plot by two romantically involved Chinese researchers to smuggle samples of a dangerous crop-killing fungus ...

Star 0 Code Issues Pull requests A Multi-Parametric Data Visualization Aid for Flow Cytometry matlab scatter-plot flow-cytometry-data Updated on May 4, 2017 MATLAB ...