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Principal component analysis on time-lapse captured digital holograms of cell clusters

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Abstract

Principal component analysis (PCA) is applied on extracted data of digital holograms of growing cell clusters. We show that PCA can be used to discriminate control and tumorigenic samples.

© 2018 The Author(s)

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