Recent Advances in Morphological Cell Image Analysis

Authors:
Open Access
Publisher website
Google Scholar
Abstract
This paper summarizes the recent advances in image processing methods for morphological cell analysis. The topic of morphological analysis has received much attention with the increasing demands in both bioinformatics and biomedical applications. Among many factors that affect the diagnosis of a disease, morphological cell analysis and statistics have made great contributions to results and effects for a doctor. Morphological cell analysis finds the cellar shape, cellar regularity, classification, statistics, diagnosis, and so forth. In the last 20 years, about 1000 publications have reported the use of morphological cell analysis in biomedical research. Relevant solutions encompass a rather wide application area, such as cell clumps segmentation, morphological characteristics extraction, 3D reconstruction, abnormal cells identification, and statistical analysis. These reports are summarized in this paper to enable easy referral to suitable methods for practical solutions. Representative contributions and future research trends are also addressed.
Funding Information
  • National Natural Science Foundation of China (61173096, 51075367, 60870002, 2010R10006, 2010C33095, R1110679)
  • National Natural Science Foundation of China (61173096, 51075367, 60870002, 2010R10006, 2010C33095, R1110679)
  • National Natural Science Foundation of China (61173096, 51075367, 60870002, 2010R10006, 2010C33095, R1110679)
  • Zhejiang Provincial S&T Department (61173096, 51075367, 60870002, 2010R10006, 2010C33095, R1110679)
  • Zhejiang Provincial S&T Department (61173096, 51075367, 60870002, 2010R10006, 2010C33095, R1110679)
  • Zhejiang Provincial Natural Science Foundation of China (61173096, 51075367, 60870002, 2010R10006, 2010C33095, R1110679)

This publication has 74 references indexed in Scilit: