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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