Deep-learning-assisted snapshot optical tomography for microscopic volume prediction: a simulation study.
Opt Lett
; 49(2): 302-305, 2024 Jan 15.
Article
de En
| MEDLINE
| ID: mdl-38194553
ABSTRACT
In this simulation study, we demonstrate fast-yet-accurate volume measurement of microscopic objects by combining snapshot optical tomography and deep learning. Snapshot optical tomography simultaneously collects a multitude of projection images and thus can perform 3D imaging in a single snapshot. However, as with other wide-field microscopy techniques, it suffers from the missing-cone problem, which can seriously degrade the quality of 3D reconstruction. We use deep learning to generate a volume prediction from 2D projection images bypassing the 3D reconstruction.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Type d'étude:
Prognostic_studies
/
Risk_factors_studies
Langue:
En
Journal:
Opt Lett
Année:
2024
Type de document:
Article