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Dataset Information

Non-destructive, label free identification of cell cycle phase in cancer cells by multispectral microscopy of autofluorescence.


ABSTRACT:

Background

Cell cycle analysis is important for cancer research. However, available methodologies have drawbacks including limited categorisation and reliance on fixation, staining or transformation. Multispectral analysis of endogenous cell autofluorescence has been shown to be sensitive to changes in cell status and could be applied to the discrimination of cell cycle without these steps.

Methods

Cells from the MIA-PaCa-2, PANC-1, and HeLa cell lines were plated on gridded dishes and imaged using a multispectral fluorescence microscope. They were then stained for proliferating cell nuclear antigen (PCNA) and DNA intensity as a reference standard for their cell cycle position (G1, S, G2, M). The multispectral data was split into training and testing datasets and models were

SUBMITTER: Campbell JM 

PROVIDER: S-EPMC6925881 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature