Cell sorting in a Petri dish controlled by computer vision.

Abstract:

:Fluorescence-activated cell sorting (FACS) applying flow cytometry to separate cells on a molecular basis is a widespread method. We demonstrate that both fluorescent and unlabeled live cells in a Petri dish observed with a microscope can be automatically recognized by computer vision and picked up by a computer-controlled micropipette. This method can be routinely applied as a FACS down to the single cell level with a very high selectivity. Sorting resolution, i.e., the minimum distance between two cells from which one could be selectively removed was 50-70 micrometers. Survival rate with a low number of 3T3 mouse fibroblasts and NE-4C neuroectodermal mouse stem cells was 66 ± 12% and 88 ± 16%, respectively. Purity of sorted cultures and rate of survival using NE-4C/NE-GFP-4C co-cultures were 95 ± 2% and 62 ± 7%, respectively. Hydrodynamic simulations confirmed the experimental sorting efficiency and a cell damage risk similar to that of normal FACS.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Környei Z,Beke S,Mihálffy T,Jelitai M,Kovács KJ,Szabó Z,Szabó B

doi

10.1038/srep01088

subject

Has Abstract

pub_date

2013-01-01 00:00:00

pages

1088

issn

2045-2322

journal_volume

3

pub_type

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