Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy

Code

• github.com/allencellmodeling/pytorch_fnet
  In paperpytorch★ 0

Abstract

Understanding cells as integrated systems is central to modern biology. Although fluorescence microscopy can resolve subcellular structure in living cells, it is expensive, is slow, and can damage cells. We present a label-free method for predicting three-dimensional fluorescence directly from transmitted-light images and demonstrate that it can be used to generate multi-structure, integrated images. The method can also predict immunofluorescence (IF) from electron micrograph (EM) inputs, extending the potential applications.

Tasks

Reproductions