Computational microscopy for quantitative phase imaging and refractive index tomography using annular illumination

Jiaji Li; Alex Matlock; Yunzhe Li; Qian Chen; Lei Tian; Chao Zuo

doi:10.1117/12.2543597

14 February 2020 Computational microscopy for quantitative phase imaging and refractive index tomography using annular illumination

Jiaji Li, Alex Matlock, Yunzhe Li, Qian Chen, Lei Tian, Chao Zuo

Author Affiliations +

Proceedings Volume 11249, Quantitative Phase Imaging VI; 112491F (2020) https://doi.org/10.1117/12.2543597
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

In this work, we demonstrate a computational microscopy for quantitative phase imaging and refractive index tomography using annular illumination. By employing a physical annular plate or a programmable annular LED unit, the quantitative phase images of a thin phase object or large-volume three-dimensional (3D) refractive index (RI) distributions of thick object can be rapidly characterize and recovered. This annular illumination scheme optimally encodes both low- and high-spatial frequency for quantitative phase and RI information across the entire 3D volume using a small number of intensity measurements. We also give both quantitative phase and 3D RI experiment results based on various biological samples, and this computational microscopy approach shows promise as a powerful high-speed, label-free tool for biomedical applications and possibility of widespread adoption of phase imaging in the morphology study of cellular processes and biomedical community.

Citation Download Citation

Jiaji Li, Alex Matlock, Yunzhe Li, Qian Chen, Lei Tian, and Chao Zuo "Computational microscopy for quantitative phase imaging and refractive index tomography using annular illumination", Proc. SPIE 11249, Quantitative Phase Imaging VI, 112491F (14 February 2020); https://doi.org/10.1117/12.2543597

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available