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Abstract 6407: Deep learning-driven image analysis for tracking nucleolar morphology

Year: 2026

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2026-6407

Authors: Leif E. Lindberg, Katelyn R. Alley, Sylvia M. Kennerly, Ian Reynolds, Ryan W. Holly, Jongtae Yang, Chris L. Vonnegutt, John C. Rogers, Victoria J. DeRose

Institutions: University of Oregon, Thermo Fisher Scientific (United States)

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7148768830

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