#ThrowbackThursday in JHC: "Making Multiplexed Imaging Flexible: Combining Essential Markers With Established Antibody Panels."

Click to read for FREE: bit.ly/3NhcKjO

#immunofluorescence #multiplexedimaging #PhenoCycler

Honored to be featured in the Researcher Spotlight by @ionopticks.bsky.social, sharing my path to spatial proteomics and our efforts to build pipelines that decode cellular complexity and uncover hidden states.
#massspectrometry #spatialbiogy #proteomics #singlecell #multiplexedimaging #dvp

#ThrowbackThursday in JHC: "Making Multiplexed Imaging Flexible: Combining Essential Markers With Established Antibody Panels."

Click to read for FREE: bit.ly/3NhcKjO

#immunofluorescence #multiplexedimaging #PhenoCycler

Streamlining Multiplexed Tissue Image Analysis with PIPΣX: An Integrated Automated Pipeline for Image Processing and EXploration for Diverse Tissue Types Spatial proteomics via multiplexed tissue imaging is transforming how we study biology, enabling researchers to investigate dozens of markers in a single tissue section and explore how cells behave in...

Excited to share our new preprint: PIPΣX — an open-source, no-code pipeline for automated multiplexed tissue image analysis. Works across platforms & organs.

Explore here: www.biorxiv.org/content/10.1...

Looking forward for your feedback!
#spatialbiology #opensource #multiplexedimaging #massspec

"To see is to understand. To image is to reveal the unseen." Join us for The Power of Multiplexed Imaging – where science meets vision. Registration now open! academy.unimib.it/power-advanc... #MultiplexedImaging #ScientificImaging #Microscopy #LifeSciences #BtBsUNIMIB #unimib

🚀 Registrations are OPEN!
Join the 2nd edition of The Power of Multiplexed Imaging — a deep dive into spatial biology.
🔬 Inspiring talks, hands-on training, cutting-edge tech!
Secure your spot 👉 academy.unimib.it/power-advanc...

#MultiplexedImaging #SpatialBiology #ImagingCourse

#spatialproteomics #spatialbiology #multiplexedimaging #bioinformatics #python #scverse #opensource #singlecell #akoya #codex

GitHub - camlab-bioml/starling: Segmentation error aware clustering for multiplexed imaging Segmentation error aware clustering for multiplexed imaging - camlab-bioml/starling

Software available here: github.com/camlab-bioml...

Great collaboration with @hartjackson.bsky.social with support from @sinaihealth.bsky.social @oicr.on.ca @uoft.bsky.social

#spatialbio #singlecell #multiplexedimaging #machinelearning