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Multimodal image reconstruction from tomographic diffraction microscopy data
Author(s) -
Abbessi Riadh,
Verrier Nicolas,
Taddese Asemare Mengistie,
Laroche Steve,
Debailleul Matthieu,
Lo Mohamed,
Courbot JeanBaptiste,
Haeberlé Olivier
Publication year - 2022
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/jmi.13131
Subject(s) - microscopy , optics , tomographic reconstruction , digital holographic microscopy , microscope , computer science , holography , computer vision , digital holography , diffraction , rendering (computer graphics) , artificial intelligence , tomography , physics
Summary Tomographic diffraction microscopy (TDM) is a tool of choice for high‐resolution, marker‐less 3D imaging of biological samples. Based on a generalization of digital holographic microscopy with full control of the sample's illumination, TDM measures, from many illumination directions, the diffracted fields in both phase and amplitude. Photon budget associated to TDM imaging is low. Therefore, TDM is not limited by phototoxicity issues. The recorded information makes it possible to reconstruct 3D refractive index distribution (with both refraction and absorption contributions) of the object under scrutiny, without any staining. In this contribution, we show an alternate use of this information. A tutorial for multimodal image reconstruction is proposed. Both intensity contrasts and phase contrasts are proposed, from the image formation model to the final reconstruction with both 2D and 3D rendering, turning TDM into a kind of ‘universal’ digital microscope.