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Theses

Imagerie optique 3D multimodale : traitements spatio-temporels, correction du front d'onde et classification automatique.

Abstract : This PhD project aims at combining numerical and optical methods to apply and push the limits of static and dynamic full-field optical coherent tomography (FFOCT) for microscopy and medical imaging. Post-processing methods using singular value decomposition allowed the acquisition of dynamic images in vivo for the first time while the use of the signals non-stationarities allowed to image with a better signal to noise ratio, hence deeper inside samples. Application of dynamic imaging is presented on retinal organoids where we show that our method is able to provide new interesting biological insights that are not possible with any other methods. Hardware developments to counteracts optical aberrations were successfully conducted leading to low complexity and cost efficient implementation which can reliably acquire retinal images with a diffraction limited resolution. The understanding and demonstration of the particular aberrations manifestation in FFOCT allowed us to design and simulate the performances of the proposed system. Finally, potential clinical applications of dynamic and static FFOCT for angiography in the human eye in vivo, wound healing ex vivo, retinal cell classification and breast cancer screening using machine learning methods are successfully demonstrated.
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Submitted on : Thursday, February 18, 2021 - 12:57:14 PM
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  • HAL Id : tel-03145406, version 1

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Jules Scholler. Imagerie optique 3D multimodale : traitements spatio-temporels, correction du front d'onde et classification automatique.. Physique [physics]. Université Paris sciences et lettres, 2020. Français. ⟨NNT : 2020UPSLS007⟩. ⟨tel-03145406⟩

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