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CELESTA from the Stanford Plevritis Lab is an unsupervised cell type identification method for multiplexed in situ imaging. It identifies cell types based on the expression profiles of cells and their spatial information. nature.com/articles/s4159…

Excited to share the latest preprint with Michael Angelo! While imaging studies often focus on cell objects, images capture significant info outside of cells. Enter Pixie, a pipeline for the quantitative annotation of both pixel and cell level features🧵biorxiv.org/content/10.110…

Excited to share my preprint with Bendall Lab and William J. Greenleaf on novel human lymphoid progenitors! Turns out they had been misidentified as myeloid progenitors thus far. Check out how we revealed their true identity in the tweetorial below 🧵biorxiv.org/content/10.110…

We're excited to announce that the 2nd annual Spatial Biology Workshop will be taking place August 28th-30th at Stanford. The workshop will cover new techniques and tools for generating and analyzing spatial data, as well as new biology discovered using spatial methods.

A fascinating look into the coordinated effort by extravillous trophoblasts in remodeling the decidual microenvironment. Amazing work Erin Soon

Cluster? On Pixels? Oh yeah, you read that right. If you work with spatial data and want to better quantify non-cellular features (or cellular features!), this tool is incredibly helpful. Great job Candace Liu

The second annual Spatial Biology Workshop is just two weeks away! This free event will showcase the power of spatial techniques to answer biological questions. We'll be showcasing new methods for data generation and analysis, as well as the novel findings they enable (1/x)

Incredibly excited for this year's Spatial Biology Summit this September! If you're interested in learning more about the newest techniques in spatial proteomics and transcriptomics, please join us. Please contact me if interested in being a sponsor for the event!

Planning a spatial omics experiment can seem intimidating - like what does multiplexed even mean? Our new perspective piece in Cancer Discovery highlights what the Michael Angelo has learned over the years with the aim of making your next spatial omics study feel a little less daunting.

Registration is now OPEN for the 3rd Annual Spatial Biology Summit! Join us for an excellent lineup of talks from leaders in the spatial biology field. Registration: bit.ly/spatialbiology…. More info: angelolab.com/spatial-biolog… Michael Angelo Bendall Lab Davide G. Franchina Cameron Walker

I'm super excited to share Nimbus, our algorithm for automatic classification of cellular marker expression in multiplexed image data! Nimbus is a pretrained deep learning model that works out of the box across panels with any combination of markers (1/x) biorxiv.org/content/10.110…

How lucky are we? Join us at the Spatial Biology Summit this September!