Convolutional neural network-based regression analysis to predict subnuclear chromatin organization from two-dimensional optical scattering signals.

Journal: Journal of biomedical optics
PMID: 39206121

Abstract

SIGNIFICANCE: Azimuth-resolved optical scattering signals obtained from cell nuclei are sensitive to changes in their internal refractive index profile. These two-dimensional signals can therefore offer significant insights into chromatin organization.

Authors

  • Yazdan Al-Kurdi
    Middle East Technical University, Northern Cyprus Campus, Electrical and Electronics Engineering Program, Kalkanli, Turkey.
  • Cem Direkoglu
    Electrical and Electronics Engineering Department, Middle East Technical University, Northern Cyprus Campus, Kalkanli, Güzelyurt, Mersin 10, 99738, Turkey.
  • Meryem Erbilek
    Middle East Technical University, Northern Cyprus Campus, Computer Engineering Program, Kalkanli, Turkey.
  • Dizem Arifler
    Middle East Technical University, Northern Cyprus Campus, Physics Group, Kalkanli, Turkey.

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