Statistical image processing quantifies the changes in cytoplasmic texture associated with aging in Caenorhabditis elegans oocytes

Statistical image processing quantifies the changes in cytoplasmic texture associated with aging in Caenorhabditis elegans oocytes

Abstract Background Oocyte quality decreases with aging, thereby increasing errors in fertilization, chromosome segregation, and embryonic cleavage. Oocyte appearance also changes with aging, suggesting a functional relationship between oocyte quality and appearance. However, no methods are availabl...

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Bibliographic Details
Main Authors: Momoko Imakubo, Jun Takayama, Hatsumi Okada, Shuichi Onami
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Bioinformatics
Subjects:
Oocyte aging
Caenorhabditis elegans
Image texture analysis
Statistical image processing
Gray level co-occurrence matrix
Nomarski DIC microscopy
Online Access:https://doi.org/10.1186/s12859-021-03990-3

Internet

https://doi.org/10.1186/s12859-021-03990-3

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