(1/5) Attention, Cellular Imaging Enthusiasts! Thrilled to share that our Analysis "The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions" has been published in Nature Methods (@NatureMethods) 🎉🎉🎉 Cell segmentation is a critical component of microscopy image analysis, but existing algorithms are often specialized for particular types of images or demand users to manually set hyper-parameters, posing challenges for biologists without a strong computational background. To address these issues, we organized an international challenge at NeurIPS 2022 to promote the development of novel cell segmentation methods that excel across a wide array of microscopy images, imaging platforms, and tissue types. 🌐 Homepage: uni-cellseg.github.io/ 📄 Paper: nature.com/articles/s41592-0… 🔬Data: neurips22-cellseg.grand-chal… 🏅Competition website: neurips22-cellseg.grand-chal… 👇 👇👇👇

couldn’t agree more about the need for more computational biologists. More importantly, we must ensure they receive the recognition and support they deserve. Their work should never be dismissed as merely “just service”. Additionally, I’d like to remind everyone of the excellent paper titled ‘All Biology is Computational Biology’. 🧬 💻 – at Vaughan, Ontario