This site is to serve as my note-book and to effectively communicate with my students and collaborators. Every now and then, a blog may be of interest to other researchers or teachers. Views in this blog are my own. All rights of research results and findings on this blog are reserved. See also http://youtube.com/c/hongqin @hongqin
Tuesday, July 19, 2016
AMNIS image flow cytometery
AMNIS, part of Millipore
FlowSight (smaller one, bench top), 20X 4-laser
20X (1 um per pixel)
ImageStream Mark II (full feature model), 20X, 40X, 60X, 405, 488, 561, 642 lasers
12 channels, 2 camera system
60X 0.33um per pixel
interactive GUI, each point can be clikced to show the cell image.
cy5
cy7
Aspect ratio, area of CD19-AF488 imagery
Valley mask
water quality test
R package for image-flow cytometer analysis?
IDEAS image analysis software, 85 features per channel.
signal to noise ratio? RD, a seperation ratio. Question on multiple-test correction. Rep suggested repeated experiments.
Machine learning methods to pick features or transformation of features?
Example on hematopoietic stem cells.
Quantify RBC heterogeneity.
3rd party software: ViSNE, cell profile, etc.
Rereferes
http://www.c2b2.columbia.edu/danapeerlab/html/cyt.html
https://www.emdmillipore.com/US/en/life-science-research/cell-analysis/amnis-imaging-flow-cytometers/research-areas/oceanography/ktSb.qB.h5QAAAFLGElT0LyB,nav#wharf
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