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Phil Harrison presented a poster at Swedish Symposium on Deep Learning, 2021

Fluorescence imaging is a valuable tool for biological analysis but is time-consuming and toxic to the cells. Using deep learning to virtually stain bright-field images is an active field of research that can alleviate these problems. Phil Harrison, a PhD student in the HASTE group, presented a poster at the Swedish Symposium on Deep Learning (SSDL) 2021 based on the HASTE team’s winning solution for the Adipocyte Cell Imaging Challenge. The poster presented our approach and results.

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HASTE group at the conference: Phenotypic Screening, High-Content Analysis and AI: Overcoming the Challenges

Many in the HASTE team visited the conference: Phenotypic Screening, High-Content Analysis and AI: Overcoming the Challenges that was held March 2-3rd at AstraZeneca, Gothenburg, Sweden.

Ola Spjuth shared the session AI and Machine Learning where Carolina Wählby (PI of HASTE) and Phil Harrison (PhD student in HASTE) gave presentations.

Phil Harrison (PhD student in HASTE) presenting his accepted talk: Deep learning models for RNA- based drug delivery using time-lapse microscopy image data. This project is now published as a preprint:
P. Harrison, H. Wieslander, A. Sabirsh,  J. Karlsson, V. Malmsjö, A. Hellander, C. Wählby,  
O. Spjuth. Deep learning models for lipid-nanoparticle-based drug delivery.
BioRxiv 2020. DOI: https://doi.org/10.1101/2020.04.06.027672
Prof. Carolina Wählby (PI of HASTE) and Phil Harrison (PhD student in HASTE) were both part of the Expert Panel discussing “AI and Machine learning in Phenotypic Screening”.
Prof. Carolina Wählby (PI of HASTE) and Dr. Alan Shabirsh (HASTE industry partner at AstraZeneca) were both part of the Expert Panel discussing “The future of phenotypic profiling”.