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培养中活单细胞的研究:细胞行为的自动识别

Study of living single cells in culture: automated recognition of cell behavior.

作者信息

Bodin P, Papin S, Meyer C, Travo P

机构信息

Laboratoire de Pharmacologie Cellulaire et Molécuaire, UA 600 CNRS, Université Louis Pasteur, Strasbourg, France.

出版信息

Lab Invest. 1988 Jul;59(1):137-43.

PMID:3392958
Abstract

An automated system capable of analyzing the behavior, in real time, of single living cells in culture, in a noninvasive and nondestructive way, has been developed. A large number of cell positions in single culture dishes were recorded using a computer controlled, robotized microscope. During subsequent observations, binary images obtained from video image analysis of the microscope visual field allowed the identification of the recorded cells. These cells could be revisited automatically every few minutes. Long-term studies of the behavior of cells make possible the analysis of cellular locomotary and mitotic activities as well as determination of cell shape (chosen from a defined library) for several hours or days in a fully automated way with observations spaced up to 30 minutes. Short-term studies of the behavior of cells permit the study, in a semiautomatic way, of acute effects of drugs (5 to 15 minutes) on changes of surface area and length of cells.

摘要

已经开发出一种自动化系统,该系统能够以非侵入性和非破坏性的方式实时分析培养中的单个活细胞的行为。使用计算机控制的自动化显微镜记录单个培养皿中的大量细胞位置。在随后的观察中,从显微镜视野的视频图像分析中获得的二值图像可用于识别记录的细胞。这些细胞每隔几分钟就能自动重新观察。对细胞行为的长期研究使得能够以完全自动化的方式分析细胞的运动和有丝分裂活动,并确定细胞形状(从定义的库中选择),观察间隔可达30分钟,持续数小时或数天。对细胞行为的短期研究允许以半自动方式研究药物(5至15分钟)对细胞表面积和长度变化的急性影响。

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