Deep-learning-assisted snapshot optical tomography for microscopic volume prediction: a simulation study.
Opt Lett
; 49(2): 302-305, 2024 Jan 15.
Article
en 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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Opt Lett
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Estados Unidos