Application of neural network-based image analysis to detect sister chromatid cohesion defects.

ABSTRACT: Sister chromatid cohesion (SCC) is mediated by the cohesin complex and its regulatory proteins. To evaluate the involvement of a protein in cohesin regulation, preparations of metaphase chromosome spreads and classifications of chromosome shapes after depletion of the target protein are commonly employed. Although this is a convenient and approved method, the evaluation and classification of each chromosome shape has to be performed manually by researchers. Therefore, this method is time consuming, and the results might be affected by the subjectivity of researchers. In this study, we developed neural network-based image recognition models to judge the positional relationship of sister chromatids, and thereby detect SCC defects. Transfer learning models based on SqueeezeNet or ResNet-18 we

SUBMITTER: Ikemoto D 

PROVIDER: S-EPMC9902603 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature