Postdoc at the University of Cambridge
Visiting Researcher at the British Antarctic Survey
College Research Associate at Wolfson College
https://laser.ceb.cam.ac.uk/
doi.org/10.1101/2025...
doi.org/10.1101/2025...
📊 Found 30% of cells express low-abundance c-kit.
🧬 This subpopulation was invisible to standard flow cytometry, but smFC revealed it.
📊 Found 30% of cells express low-abundance c-kit.
🧬 This subpopulation was invisible to standard flow cytometry, but smFC revealed it.
✅ Digital precision down to ~2–3 molecules/cell
✅ 10–80× improved detection limits vs. conventional FC
✅ Quantification of membrane proteins in high throughput, single-cell detail
✅ Digital precision down to ~2–3 molecules/cell
✅ 10–80× improved detection limits vs. conventional FC
✅ Quantification of membrane proteins in high throughput, single-cell detail
🔬 High-NA oblique plane microscopy (OPM)
💧 Microfluidics
✨ Superbright, large Stokes shift dyes
→ enabling optical sectioning + photon efficiency needed for single-molecule detection in flowing cells.
🔬 High-NA oblique plane microscopy (OPM)
💧 Microfluidics
✨ Superbright, large Stokes shift dyes
→ enabling optical sectioning + photon efficiency needed for single-molecule detection in flowing cells.
Speaker: Dr Meng Lu from Peking University
Speaker: Dr Meng Lu from Peking University
spot.view()
spot.view()
from optiland.samples.objectives import CookeTriplet
lens = CookeTriplet()
lens.draw()
from optiland.samples.objectives import CookeTriplet
lens = CookeTriplet()
lens.draw()
What’s the worst-looking image we can still analyse?
What’s the worst-looking image we can still analyse?
Super-resolution and DNA-PAINT results were amazing!
Super-resolution and DNA-PAINT results were amazing!
@jmstein.bsky.social
www.biorxiv.org/content/10.1...
@jmstein.bsky.social
www.biorxiv.org/content/10.1...