Peer-Reviewed Publication
Biomed Opt Express2023;14(7):3172-3189.July 1, 2023Journal Article

Fourier ptychographic microscopy image enhancement with bi-modal deep learning.

Lyes Bouchama1,2, Bernadette Dorizzi1, Marc Thellier3, Jacques Klossa2, Yaneck Gottesman1
1Samovar, Télécom SudParis, Institut Polytechnique de Paris, 91120 Palaiseau, France.
2TRIBVN/T-life, 92800 Puteaux, France.
3Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, 75013 Paris, France.

Abstract

Digital pathology based on a whole slide imaging system is about to permit a major breakthrough in automated diagnosis for rapid and highly sensitive disease detection. High-resolution FPM (Fourier ptychographic microscopy) slide scanners delivering rich information on biological samples are becoming available. They allow new effective data exploitation for efficient automated diagnosis. However,…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.