Christopher Schmied

Jan 6, 2025 | dx.doi.org | David Bushiri Pwesombo |Carsten Joern Beese |Christopher Schmied |Han Sun

1. IntroductionClick to copy section linkSection link copied!The Cell Painting (CP) assay is a high-content screening method that enables an unbiased and high-throughput evaluation of pharmacological similarity among compounds by comparing the drug-induced morphological changes on cells.

Jan 6, 2025 | pubs.acs.org | David Bushiri Pwesombo |Carsten Joern Beese |Christopher Schmied |Han Sun

1. IntroductionClick to copy section linkSection link copied!The Cell Painting (CP) assay is a high-content screening method that enables an unbiased and high-throughput evaluation of pharmacological similarity among compounds by comparing the drug-induced morphological changes on cells.

Oct 29, 2024 | biorxiv.org | Carsten Joern Beese |Christopher Schmied |Han Sun |David Bushiri Pwesombo

AbstractMorphological profiling has recently demonstrated remarkable potential for identifying the biologi-cal activities of small molecules. Alongside the fully supervised and self-supervised machine learn-ing methods recently proposed for bioactivity prediction from Cell Painting image data, we intro-duce here a semi-supervised contrastive (SemiSupCon) learning approach.

Oct 12, 2023 | science.org | Kimberly Siletti |Nikolas L. Jorstad |Thomas Chartrand |Filiz Sila Rizalar |Astrid G. Petzoldt |Shuhan Kong | +13 more

Published In ScienceVolume 382 | Issue 666713 October 2023Article versionsSubmission historyReceived: 2 December 2022Accepted: 16 August 2023Published in print: 13 October 2023PermissionsRequest permissions for this article. AcknowledgmentsWe thank the FMP mass spectrometry core facility, especially H. Stephanowitz for proteomic analysis, W.-T. Lo (FMP, Berlin) for assistance with protein purification and liposome binding assays, and B. Van Rossum for help with the artwork. We further thank M.

Sep 14, 2023 | nature.com | Christopher Schmied |Michael Nelson |Sergiy Avilov |Gert-Jan Bakker |Cristina Bertocchi |Johanna Bischof | +39 more

AbstractImages document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. However, for scientists wishing to publish obtained images and image-analysis results, there are currently no unified guidelines for best practices. Consequently, microscopy images and image data in publications may be unclear or difficult to interpret.