Search Results for author: David Richmond

Found 5 papers, 1 papers with code

Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening

no code implementations11 Jun 2024 Mahtab Bigverdi, Burkhard Hockendorf, Heming Yao, Phil Hanslovsky, Romain Lopez, David Richmond

Optical pooled screening (OPS) combines automated microscopy and genetic perturbations to systematically study gene function in a scalable and cost-effective way.

Clustering Representation Learning +1

Weakly Supervised Set-Consistency Learning Improves Morphological Profiling of Single-Cell Images

1 code implementation8 Jun 2024 Heming Yao, Phil Hanslovsky, Jan-Christian Huetter, Burkhard Hoeckendorf, David Richmond

Optical Pooled Screening (OPS) is a powerful tool combining high-content microscopy with genetic engineering to investigate gene function in disease.

Self-Supervised Learning

DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets

no code implementations22 Jan 2017 David Richmond, Anna Payne-Tobin Jost, Talley Lambert, Jennifer Waters, Hunter Elliott

Exposure to intense illumination light is an unavoidable consequence of fluorescence microscopy, and poses a risk to the health of the sample in every live-cell fluorescence microscopy experiment.

General Classification

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