Literature DB >> 3667712

A simple microcomputer-based system for real-time analysis of cell behaviour.

J A Dow1, J M Lackie, K V Crocket.   

Abstract

An image analysis package based on a BBC microcomputer has been developed, which can simultaneously track many moving cells in vitro. Cells (rabbit neutrophil leucocytes, BHK C13 fibroblasts, or PC12 phaeochromocytoma cells) are viewed under phase optics with a monochrome TV camera, and the signal digitized. Successive frames are acquired by the computer as a 640 X 256 pixel array. Under controlled lighting conditions, cells can readily be isolated from the background by binary filtering. In real-time tracking, the positions of a given cell in successive frames are obtained by searching the area around the cell's centroid in the previous frame. A simple box-search algorithm is described, which proves highly successful at low cell densities. The resilience of different search algorithms to various exceptional conditions (such as collisions) is discussed. The success of this system in real-time tracking is largely dependent upon the leisurely speed of movement of cells, and on obtaining a clean, high quality optical image to analyse. The limitations of this technique for different cell types, and the possible configurations of more sophisticated hardware, are outlined. This system provides a versatile and automated solution to the problem of studying the movement of tissue cells.

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Year:  1987        PMID: 3667712     DOI: 10.1242/jcs.87.1.171

Source DB:  PubMed          Journal:  J Cell Sci        ISSN: 0021-9533            Impact factor:   5.285


  3 in total

1.  Automated identification of axonal growth cones in time-lapse image sequences.

Authors:  Thomas M Keenan; Andrew Hooker; Mary E Spilker; Nianzhen Li; Gregory J Boggy; Paolo Vicini; Albert Folch
Journal:  J Neurosci Methods       Date:  2005-09-19       Impact factor: 2.390

2.  A factor released by monocytes in the presence of dexamethasone stimulates neutrophil locomotion.

Authors:  S Chettibi; A J Lawrence; R D Stevenson
Journal:  Br J Pharmacol       Date:  1993-01       Impact factor: 8.739

Review 3.  Deep learning for cellular image analysis.

Authors:  Erick Moen; Dylan Bannon; Takamasa Kudo; William Graf; Markus Covert; David Van Valen
Journal:  Nat Methods       Date:  2019-05-27       Impact factor: 28.547

  3 in total

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