Philippe Roudot
@philipperoudot.bsky.social
CNRS Researcher at @InstitutFresnel & Group Leader at @centuri_ls investigating computer vision approaches for the discovery of living processes in physiology.
Reposted by Philippe Roudot
Preprint Alert📣
Our work
✳️uncovers a distinct cancer cell state with survival advantages in the pediatric cancer *Ewing Sarcoma*
✳️implicates membrane invaginations called *caveolae* that drive survival through subcellular organization of signaling molecules on the cell surface.
Check it out! 👇
Our work
✳️uncovers a distinct cancer cell state with survival advantages in the pediatric cancer *Ewing Sarcoma*
✳️implicates membrane invaginations called *caveolae* that drive survival through subcellular organization of signaling molecules on the cell surface.
Check it out! 👇
January 28, 2025 at 9:36 PM
Preprint Alert📣
Our work
✳️uncovers a distinct cancer cell state with survival advantages in the pediatric cancer *Ewing Sarcoma*
✳️implicates membrane invaginations called *caveolae* that drive survival through subcellular organization of signaling molecules on the cell surface.
Check it out! 👇
Our work
✳️uncovers a distinct cancer cell state with survival advantages in the pediatric cancer *Ewing Sarcoma*
✳️implicates membrane invaginations called *caveolae* that drive survival through subcellular organization of signaling molecules on the cell surface.
Check it out! 👇
Very excited by this paper by @peeyoushh.bsky.social in my lab. We demonstrated the increased robustness of LLM/transformers in tracking at scale but also their pitfalls: when the combinatorics gets simpler (and not just modeling!), stats work best. Tons of potential for hybrid approaches :).
This year, we (Philippe Roudot and I) published my first PhD paper on the usability of transformers for tracking problems at EUSIPCO! Find the open access version here and/or continue reading the thread :)
hal.science/hal-04619330/
hal.science/hal-04619330/
Comparative study of transformer robustness for multiple particle tracking without clutter
The tracking of multiple particles in lengthy image sequences is challenged by the stochastic nature of displacements, particles detection errors, and the combinatorial explosion of all possible traje...
hal.science
January 17, 2025 at 4:08 PM
Very excited by this paper by @peeyoushh.bsky.social in my lab. We demonstrated the increased robustness of LLM/transformers in tracking at scale but also their pitfalls: when the combinatorics gets simpler (and not just modeling!), stats work best. Tons of potential for hybrid approaches :).
Hello bsky :). Application still opened for an exciting @centuri-ls.bsky.social PhD project with C. Collinet combining AI and stochastic modeling to understand how living embryos rearrange their own shape! Project & application details here: centuri-livingsystems.org/application-... DL Jan 27th.
January 17, 2025 at 3:56 PM
Hello bsky :). Application still opened for an exciting @centuri-ls.bsky.social PhD project with C. Collinet combining AI and stochastic modeling to understand how living embryos rearrange their own shape! Project & application details here: centuri-livingsystems.org/application-... DL Jan 27th.
Reposted by Philippe Roudot
Open-Source 3D Active Sample Stabilization for Fluorescence Microscopy www.biorxiv.org/content/10.1...
Open-Source 3D Active Sample Stabilization for Fluorescence Microscopy
Super-resolution microscopy has enabled imaging at nanometer-scale resolution. However, achieving this level of detail without introducing artifacts that could mislead data interpretation requires mai...
www.biorxiv.org
January 16, 2025 at 1:05 PM
Open-Source 3D Active Sample Stabilization for Fluorescence Microscopy www.biorxiv.org/content/10.1...