Computerized cell tracking: Current methods, tools and challenges

doi:10.1016/j.visinf.2020.11.003

2021-03-01

Neda Emami

Zahra Sedaei

Reza Ferdousi *

DOI：10.1016/j.visinf.2020.11.003

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摘要

En 中文

In developmental biology, knowledge of cell structure and their (morpho) dynamic behavior, leads to a comprehensive understanding of their conducts and the mechanisms in which they participate. This knowledge is a decisive factor in biological research and also in all drug development steps, medicinal or preventive therapies. Experimental cell analysis is hard, expensive, and time-consuming. To overcome these difficulties, in recent years, several computational object tracking methods, software system and packages have been developed in cell sciences that bring together different disciplines and branches of technologies. Object tracking is the process of locating and monitoring specific object and its behavior in sequential images. In this paper, a comprehensive review on object tracking stages and computational methods that are utilized in terms of cell tracking has been organized. Besides, the available software packages and toolkits, challenges, and their solution in time lapse microscopy images in this scope were reviewed. The aim of describing computational cell tracking methods and tools is that biologist and cell scientists might take advantage of these computational techniques to find another method to gain complementary information for their question of interest. (C) 2021 The Author(s). Published by Elsevier B.V. on behalf of Zhejiang University and Zhejiang University Press Co. Ltd.

Keyword:

Cell tracking

Digital cell tracking

Live-cell microscopy

Image analysis

Bioimage informatics

Subcellular location

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Visual Informatics

IF:

3.9

论文数:

249

被引数:

628

机构

Tabriz University of Medical Science

学者数:

1.1W

论文数: 6.9K

被引数: 16

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