Image Analysis Using Imaris 10.1 Machine Learning to Quantitate γH2AX Foci in U87 Cells-Reference-Cited by-同舟云学术

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Image Analysis Using Imaris 10.1 Machine Learning to Quantitate γH2AX Foci in U87 Cells

Published:2024-07 Issue:Supplement_1 Volume:30 Page:
ISSN:1431-9276
Container-title:Microscopy and Microanalysis
language:en
Short-container-title:

Author:

Planck Emma¹,Teoli Dominic¹,Yasui Linda¹

Affiliation:

1. Biological Sciences/Northern Illinois University , DeKalb, IL , United States

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/mam/article-pdf/30/Supplement_1/ozae044.201/58670615/ozae044.201.pdf

Reference5 articles.

1. The Many Facets of Therapy Resistance and Tumor Recurrence in Glioblastoma

2. H2AX Phosphorylation: Its Role in DNA Damage Response and Cancer Therapy

3. Super Resolution of γH2AX Substructure in Chromatin in GBM cells

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