Leo Rowe-Brown on Muck Rack

Leo Rowe-Brown

As seen in: Cell Reports, Cell Systems
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Articles

Geometric deep learning and multiple-instance learning for 3D cell-shape profiling

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By Matt De Vries, Lucas G. Dent, Nathan Curry, Leo Rowe-Brown, Vicky Bousgouni, Hugh Sparks, Adam L. Tyson, Chris Dunsby, Chris Bakal, Olga Fourkioti, Reed Naidoo
| Cell Systems Verified
Results We used stage-scanning OPM27,28 to perform light-sheet imaging of more than 65,000 WM266-4 melanoma cells embedded in a tissue-like collagen hydrogel (Figure 1A) that expressed a fluorescent marker of the membrane (CAAX-GFP), nucleus (histone-H2B), as well as an ERK kinase translocation reporter (ERK-KTR) (see STAR Methods). Cells were located in the gels in regions proximal to the coverslip and distal to the coverslip.
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3D single-cell shape analysis using geometric deep learning

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By Matt De Vries, Lucas G. Dent, Nathan Curry, Leo Rowe-Brown
| biorxiv.org
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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3D single-cell shape analysis of cancer cells using geometric deep learning

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By Lucas G. Dent, Nathan Curry, Matthew De Vries, Leo Rowe-Brown
| biorxiv.org
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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