Author

Chloe Daul

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

Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

Pierre TournieriD· 1 shared Shukry James HabibiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

1 shared paperCell Biology

Pierre TournierORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Cell BiologyChemical & Biomedical ImagingPeer-reviewedMay 8, 2026

Benchmarking Machine Learning and Automated Image Analysis for Organelle Quantification

Chloe Daul, Pierre Tournier, Shukry James Habib

This study benchmarks machine learning and image analysis tools for organelle quantification, finding variations in results across pipelines and imaging modalities.

DOI 10.1021/cbmi.6c00038

humanfluorescence / live-cell microscopy

𝕏 PostBluesky