Extraction of Blebs in Human Embryonic Stem Cell Videos

Autor: Bir Bhanu, Prue Talbot, Nikki Jo-Hao Weng, Benjamin X. Guan
Rok vydání: 2016
Předmět:
0301 basic medicine
Bioinformatics
Image Processing
Human Embryonic Stem Cells
Image processing
human embryonic stem cell
Biology
Regenerative Medicine
Cell blebbing
Image properties
Mathematical Sciences
Bleb extraction
03 medical and health sciences
Computer-Assisted
Information and Computing Sciences
Image Processing
Computer-Assisted
Genetics
Humans
Computer vision
Segmentation
bio-inspired
Bleb (cell biology)
Stem Cell Research - Embryonic - Human
Microscopy
Microscopy
Video
business.industry
Applied Mathematics
Computational Biology
Video
Image segmentation
Biological Sciences
Stem Cell Research
Embryonic stem cell
Networking and Information Technology R&D
030104 developmental biology
Generic Health Relevance
human embryonic stem cell (hESC)
Artificial intelligence
business
Algorithms
Biotechnology
Zdroj: IEEE/ACM transactions on computational biology and bioinformatics, vol 13, iss 4
Guan, BX; Bhanu, B; Talbot, P; & Weng, NJ-H. (2016). Extraction of Blebs in Human Embryonic Stem Cell Videos. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 13(4), 678-688. doi: 10.1109/TCBB.2015.2480091. UC Riverside: Retrieved from: http://www.escholarship.org/uc/item/07g817kw
ISSN: 2374-0043
1545-5963
DOI: 10.1109/tcbb.2015.2480091
Popis: Blebbing is an important biological indicator in determining the health of human embryonic stem cells hESC. Especially, areas of a bleb sequence in a video are often used to distinguish two cell blebbing behaviors in hESC: dynamic and apoptotic blebbings. This paper analyzes various segmentation methods for bleb extraction in hESC videos and introduces a bio-inspired score function to improve the performance in bleb extraction. Full bleb formation consists of bleb expansion and retraction. Blebs change their size and image properties dynamically in both processes and between frames. Therefore, adaptive parameters are needed for each segmentation method. A score function derived from the change of bleb area and orientation between consecutive frames is proposed which provides adaptive parameters for bleb extraction in videos. In comparison to manual analysis, the proposed method provides an automated fast and accurate approach for bleb sequence extraction.
Databáze: OpenAIRE
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