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Standardizing image assessment in optical diffraction tomography
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DOI：10.1364/OL.478554.png)
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Abstract
En 中文
Optical diffraction tomography (ODT) has gradually become a popular label-free imaging technique that offers diffraction-limited resolution by mapping an object's three-dimensional (3D) refractive index (RI) distribution. How-ever, there is a lack of comprehensive quantitative image assessment metrics in ODT for studying how various experi-mental conditions influence image quality, and subsequently optimizing the experimental conditions. In this Letter, we propose to standardize the image assessment in ODT by proposing a set of metrics, including signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and structural distin-guishability (SD). To test the feasibility of the metrics, we performed experiments on angle-scanning ODT by varying the number of illumination angles, RI contrast of sam-ples, sample feature sizes, and sample types (e.g., standard polystyrene beads and 3D printed structures) and eval-uated the RI tomograms with SNR, CNR, and SD. We further quantitatively studied how image quality can be improved, and tested the image assessment metrics on sub -cellular structures of living cells. We envision the proposed image assessment metrics may greatly benefit end-users for assessing the RI tomograms, as well as experimentalists for optimizing ODT instruments.(c) 2023 Optica Publishing Group
Keywords:
REFRACTIVE-INDEX TOMOGRAPHY
DIGITAL MICROMIRROR DEVICE
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