Author

Nick Pawlowski

Imperial College LondonORCID 0000-0002-2748-7977Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Anne Elizabeth CarpenteriD· 2 shared Shantanu SinghiD· 2 shared Amos StorkeyiD· 1 shared Juan C. CaicedoiD· 1 shared Juan Carlos CaicedoiD· 1 shared Peter Goldsborough· 1 shared

Activity by Year

2016-2017 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersBioinformatics

Anne Elizabeth CarpenterORCID

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2 papers

Recent·Most cited

CytoGAN: Generative Modeling of Cell Images

Peter Goldsborough, Nick Pawlowski, Juan Carlos Caicedo, Shantanu Singh, Anne Elizabeth Carpenter

Adversarially learned features group fluorescence images of chemically treated human cells better than autoencoder features, though classical computer vision and transfer learning still do better.

bioRxiv · Dec 2, 2017 · PreprintBioinformatics

Automating Morphological Profiling with Generic Deep Convolutional Networks

Nick Pawlowski, Juan C. Caicedo, Shantanu Singh, Anne Elizabeth Carpenter, Amos Storkey

ImageNet-pretrained Inception-v3, without fine-tuning or segmentation, reaches 91% mechanism-of-action accuracy on illumination-corrected BBBC021 versus 90% for classical mean profiles, running in 22 minutes versus over 10 hours for single-core CellProfiler.

bioRxiv · Nov 2, 2016 · PreprintBioinformatics✦ In-depth digest