Author

Titouan Brossy

École Polytechnique Fédérale de Lausanne

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biophysics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:trajectory inference· 2

Frequent Co-Authors

Aleksandra RađenovićiD· 2 shared David ŠťastnýiD· 2 shared Lance W.Q. XuiD· 2 shared Marianna Fanouria MitsioniiD· 2 shared Martin HofiD· 2 shared Nathan RoncerayiD· 2 shared Radek ŠachliD· 2 shared Steve PresséiD· 2 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiophysics

Aleksandra RađenovićORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Particle Tracking for Quantized Intensities Accelerated with Parallelism

Lance W.Q. Xu, Nathan Ronceray, Marianna Fanouria Mitsioni, Titouan Brossy, David Šťastný, Radek Šachl, Martin Hof, Aleksandra Rađenović, Steve Pressé

QTrack improves particle tracking by directly modeling quantized photon detections, achieving faster and more accurate results than traditional methods.

bioRxiv · May 30, 2025 · PreprintBiophysics

Tracking Without Linking or Localization: Single-Photon Tracking

Lance W.Q. Xu, Nathan Ronceray, Marianna Fanouria Mitsioni, Titouan Brossy, David Šťastný, Jay C. Spendlove, Radek Šachl, Martin Hof, Aleksandra Rađenović, Steve Pressé

This paper introduces SP2T, a method for tracking fast-diffusing particles using 1-bit image data, showing it outperforms traditional methods and enables faster, more accurate tracking.

bioRxiv · Jan 10, 2025 · PreprintBiophysics