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Updated: Feb 11, 2026

Automated Imaging and Analysis for the Quantification of Fluorescently Labeled Macropinosomes
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シリコンラベリング:ラベルのない画像における光ラベルの予測

Eric M Christiansen1, Samuel J Yang1, D Michael Ando1

  • 1Google, Inc., Mountain View, CA 94043, USA.

Cell
|April 17, 2018
PubMed
まとめ

In silico labeling (ISL) は,レーベルが付いていない細胞の発光画像から光ラベルを予測するために機械学習を使用します. この計算によるアプローチは,従来の方法の限界を克服し,一貫した,破壊的でない生物学的測定を可能にします.

キーワード:
癌についてコンピュータビジョンディープラーニング機械学習顕微鏡検査神経科学幹細胞

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