Deep multiplexed 50-marker imaging of circulating tumor cells expands actionable biomarker profiling for precision oncology https://www.biorxiv.org/content/10.1101/2025.10.23.684075v1

Deep multiplexed 50-marker imaging of circulating tumor cells expands actionable biomarker profiling for precision oncology https://www.biorxiv.org/content/10.1101/2025.10.23.684075v1

BioImage analysis friends - King's are recruiting for a full-time, permanent facility position! Come and work with fun microscopes and fun people (and me!) - please share! www.kcl.ac.uk/jobs/126345-...

big one! a decade in the making. nadler & team develop tools to track lipid transport in living cells at single-species resolution. turns out non-vesicular, asymmetry-driven transport is the main architect of organelle identity. feels like the dawn of a golden era for lipid biology. rdcu.be/eBGJv

@felkohdigital.bsky.social wrote a beautiful popular science piece about how #AI is advancing the inference of molecular function from analysis of cellular form, i.e. image-based phenotyping. If you want to explain your #HCS project to a friend, this might help! #Microscopy tinyurl.com/4ne8vcaj

Microscopy most especially. To be the first human to ever lay eyes on something. What a feeling.

This is the result of a super fun collaboration with Andrew Gunawan from @locusj.bsky.social and Erik Meijering's groups at UNSW (there aren't many collaborators I'd brave a 9-11 hour time difference for, but these guys are great 🦘) and @micoxscopy.bsky.social a bit closer to home! (5/5)

For giggles, we also discovered that you can deliberately force images to be structurally wacky while still getting high scores on quality metrics (please don't try this at home) (4/5)

Most alarmingly, it turns out that sometimes these metrics tell you that your image has got better after image processing, even when your downstream biological analysis gets worse as a result ☹️ (3/5)

We show that PSNR and SSIM fundamentally suck (technical scientific term there) for fluorescence microscopy in general. They also love processed images - even if those processed images don't look all that great. (2/5)

Hello! Very excited to share our latest preprint, which is great news for us but terrible news for any diehard fans of PSNR and SSIM as image quality metrics in microscopy... (1/5) www.biorxiv.org/content/10.1...

Yes, a wonderful collaboration! Fantastic vision from @superresolusian.bsky.social, Andrew Gunawan & @micoxscopy.bsky.social challenging IQM dogma re what a 'good' #FluorescenceMicroscopy image is. Important ideas for our field, always with good humour, regardless of the hour (or pet behaviour) :)

Our #Extensible_Immunofluorescence (ExIF) technique is a bit like #AI doing #origami. From some starting information (raw images = sheets of paper), AI can re-fold many alternatives (virtual images = alternate origami), capturing more #single-cell biology. Check out: www.nature.com/articles/s41...

Amazing new collab with & led by @kriskilian.bsky.social showing brief capillary constriction drives cancer stem cell traits & tumorgenicity in a PIEZO (i.e. mechanosensitive) manner. Blood-borne CTCs get an 'aggressiveness boost' from squeezing through small vessels. www.biorxiv.org/content/10.1...

Not just noise! Single-cell quantitative imaging reveals that epithelial-mesenchymal #EMT cell state pre-determines different magnitudes, kinetics & intracellular spatial routing of EGF-induced phospho-signalling. Great work @felkohdigital.bsky.social & collab team! www.biorxiv.org/content/10.1...

Amazing new collab with & led by @kriskilian.bsky.social showing brief capillary constriction drives cancer stem cell traits & tumorgenicity in a PIEZO (i.e. mechanosensitive) manner. Blood-borne CTCs get an 'aggressiveness boost' from squeezing through small vessels. www.biorxiv.org/content/10.1...

Christine Chaffer, @skummerf.bsky.social at @garvaninstitute.bsky.social, Smita Krishnaswamy at Yale et al present AAnet a neural network for nonlinear archetype analysis that more accurately captures cell plasticity & learns the spatial organisation of the archetypes. What is the advance? 1/3

Now online in Cancer Discovery: AAnet Resolves a Continuum of Spatially-Localized Cell States to Unveil Intratumoral Heterogeneity - by Aarthi Venkat, Scott Youlten, Beatriz San Juan, Smita Krishnaswamy, Christine Chaffer, and colleagues doi.org/10.1158/2159...

The first, first-author story www.biorxiv.org/content/10.1... from @felkohdigital.bsky.social & www.cancersystemsmicroscopylab.com exploring how the epithelial-mesenchymal (E/M) state landscape pre-determines EGF signalling responses. An analytical tour-de-force, with more to come on this theme!

🔬 PostDoc Alert! Our liquid biopsy collaborators Cancer & Inflammation Lab seek talented PostDoc to develop personalized cancer diagnostics. Focus: DDR & immune biomarkers in prostate/lung/GI cancers. Be part of the #precision_medicine revolution! #PostDoc #CancerResearch Apply@ tinyurl.com/yps8nwdf

Our #AI #research @natcomms.nature.com uses #multiomics data integration concepts to fuse 4-channel imaging data into unlimitedly multiplexed image datasets via generative deep learning to interrogate complex cell biology, like #EMT. Multiplexing made easy! rdcu.be/emtBc @singmolsci.bsky.social

I'm developing a new onboarding, orientation & support pack for postdocs & professional staff #UNSW School of Biomedical Sciences. What's the #1 thing you wish someone had told you when you arrived at your institution, to help you connect, contribute & launch your career?