📢 Submissions are now open for the CellMap Segmentation Challenge.

Build the best method for segmenting cellular organelles in vEM using our 289 annotated volumes, 40 organelle classes, and 22 diverse cell and tissue types.

🔗 hhmi.news/410evJQ

🔬 The Shroff Lab & collaborators have developed a new AI method that produces sharp microscopy images throughout a thick biological sample without using adaptive optics, adding additional hardware, or taking more images.
🔗 https://hhmi.news/3DLUEF8

🦠A team led by the Lippincott-Schwartz Lab used a new technique developed at Janelia called high-resolution template matching, or HRTM, to uncover in unprecedented detail the movement of ribosomes – the molecular structures that synthesize proteins inside cells.

🔗 hhmi.news/401LKMq

We are looking for exceptional #AIScientist|s to join our #AI@HHMI initiative at #HHMIJanelia. We want to uncover fundamental principles underlying complex biological systems that are inaccessible without new innovations that combine #AI with experimental design.

ai.hhmi.org#join-our-team

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I am happy to see our first manuscript already in bioRxiv! This collaborative work present a strategy to image and extract single-cell organelle signatures in tissues. Shout-out to all the authors! www.biorxiv.org/content/10.1...