Automatic detection and analysis of cell motility in phase-contrast time-lapse images using a combination of maximally stable extremal regions and Kalman filter approaches-Reference-Cited by-同舟云学术

Automatic detection and analysis of cell motility in phase-contrast time-lapse images using a combination of maximally stable extremal regions and Kalman filter approaches

Published:2013-11-26 Issue:1 Volume:253 Page:65-78
ISSN:0022-2720
Container-title:Journal of Microscopy
language:en
Short-container-title:Journal of Microscopy

Author:

KAAKINEN M.¹²,HUTTUNEN S.²³,PAAVOLAINEN L.⁴⁵,MARJOMÄKI V.⁴,HEIKKILÄ J.³,EKLUND L.¹⁶

Affiliation:

1. Biocenter Oulu; University of Oulu; Finland

2. Mika Kaakinen and Sami Huttunen contributed equally to this work

3. Department of Computer Science and Engineering; University of Oulu; Finland

4. Department of Biological and Environmental Science; Nanoscience Center; University of Jyväskylä; Finland

5. Department of Mathematical Information Technology; University of Jyväskylä; Finland

6. Oulu Center for Cell-Matrix Research; Department of Medical Biochemistry and Molecular Biology; Institute of Biomedicine; University of Oulu; Finland

Funder

Biocenter Finland

Academy of Finland

Technology and Innovation

Publisher

Wiley

Subject

Histology,Pathology and Forensic Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jmi.12098/fullpdf

Reference24 articles.

1. Ali , R. Gooding , M. Christlieb , M. Brady , M. 2007 Proceedings of 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 57 60

2. High-resolution cell outline segmentation and tracking from phase-contrast microscopy images;Ambühl;J Microsc,2012

3. Geodesic active contours;Caselles;Int J Comp Vis.,1997

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cryptosporidium spp. and Giardia spp. (oo)cysts as target-organisms in sanitation and environmental monitoring: A review in microscopy-based viability assays;Water Research;2021-02

2. Decoding Optical Data with Machine Learning;Laser & Photonics Reviews;2020-12-23

3. Model&Motion based Shape Tracking in Large-Scale Cellular Datasets;Proceedings of the 2018 10th International Conference on Machine Learning and Computing;2018-02-26

4. The interplay of matrix metalloproteinase-8, transforming growth factor-β1 and vascular endothelial growth factor-C cooperatively contributes to the aggressiveness of oral tongue squamous cell carcinoma;British Journal of Cancer;2017-08-03

5. Characterization of dormant and active human cancer cells by quantitative phase imaging;Cytometry Part A;2017-03-17