Cameron Walker
@Walk14Cameron
PhD Student @stanfordcbio @mikeangelolab studying peripheral immune tolerance and cancer | Senior fellow @artisventures
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 @CandaceCLiu
Excited to see this published! Check out Pixie, a pipeline for quantifying non-cellular features (as well as improving cell classifications) in multiplexed images. nature.com/articles/s4146…
Registration has officially opened for the 4th annual Spatial Biology Summit! Join us in person or virtually this September for an incredible lineup of speakers angelolab.com/spatial-biolog… @b_iologist @CandaceCLiu @MikeAngeloLab @Bendall_Lab @mina_pichavant
How lucky are we? Join us at the Spatial Biology Summit this September!
What?? @GarryPNolan!! Count me in!! Spots are filling up faster than expected, please be sure to register soon if you want to join us!
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…
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… @MikeAngeloLab @Bendall_Lab @b_iologist @Walk14Cameron
Planning a spatial omics experiment can seem intimidating - like what does multiplexed even mean? Our new perspective piece in @CD_AACR highlights what the @MikeAngeloLab has learned over the years with the aim of making your next spatial omics study feel a little less daunting.
Just published! Insights and Opportunity Costs in Applying Spatial Biology to Study the Tumor Microenvironment, a commentary by #AACR24 Plenary Speaker @MikeAngeloLab. bit.ly/3vAHFmb @StanfordPath @AACR
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!
🚨🚨🚨The 3rd annual Spatial Biology Summit is set for Sept 10-12 at Stanford! Join us for talks by experts in MIBI, MSI, CODEX, IMC, Spatial Transcriptomics, computational methods, and more. Stay tuned for details! @MikeAngeloLab @Bendall_Lab @b_iologist @Walk14Cameron #sbs2024
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)
A fascinating look into the coordinated effort by extravillous trophoblasts in remodeling the decidual microenvironment. Amazing work @ErinSoon_
Very excited to have our work out in @Nature today – a huge effort with @MikeAngeloLab @Inna_Averbukh @ShirleyGreenba1 @_hubmap 🤰🤰 Check it out here! nature.com/articles/s4158…
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.
Excited to share my preprint with @Bendall_Lab and @WJGreenleaf 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…
Excited to share the latest preprint with @MikeAngeloLab! 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…
CELESTA from the @PlevritisLab 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…