Cell sorting in a Petri dish controlled by computer vision

被引:34
作者
Koernyei, Z. [1 ]
Beke, S. [2 ]
Mihalffy, T. [3 ]
Jelitai, M. [1 ]
Kovacs, K. J. [1 ]
Szabo, Z. [4 ]
Szabo, B. [4 ,5 ]
机构
[1] Hungarian Acad Sci, Inst Expt Med, H-1083 Budapest, Hungary
[2] RIKEN Adv Sci Inst, Laser Technol Lab, Wako, Saitama 3510198, Japan
[3] Furukawa Elect Inst Technol, H-1158 Budapest, Hungary
[4] CellSorter Co Innovat, H-1037 Budapest, Hungary
[5] Eotvos Lorand Univ, Dept Biol Phys, H-1117 Budapest, Hungary
关键词
SORTER; BAD;
D O I
10.1038/srep01088
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:10
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