Single capture quantitative phase imaging with tomographic sectioning

Paloma Casteleiro Costa; Zhe Guang; Nischita Kaza; Francisco E. Robles

doi:10.1117/12.2650539

16 March 2023 Single capture quantitative phase imaging with tomographic sectioning

Paloma Casteleiro Costa, Zhe Guang, Nischita Kaza, Francisco E. Robles

Proceedings Volume 12389, Quantitative Phase Imaging IX; 1238906 (2023) https://doi.org/10.1117/12.2650539
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Quantitative Phase Imaging (QPI) has become a mainstay imaging technique in the biomedical sciences to study cells and other biological processes. Traditional QPI techniques are transmission-based and, thus, limited to thin samples. Over the past few years, multiple 3D QPI tools have emerged attempting to overcome this limitation and provide cross-sectional phase information of thicker samples. However, most of these techniques remain transmission-based, which constrains their ability to image samples thicker than a few mean free scattering lengths. Recently, we have developed quantitative oblique back-illumination microscopy (qOBM) as an epimode technique that enables label-free quantitative phase imaging of thick samples with tomographic crosssectioning. Like in most 3D QPI instances, qOBM requires multiple captures to render a quantitative phase image. Specifically, qOBM requires four raw captures, obtained by illuminating the sample obliquely from four different directions, to reconstruct the quantitative phase. This muti-capture scheme hinders qOBM’s ability to investigate valuable fast dynamic processes, such as blood flow, as well as its usability in some in-vivo applications. Here, we present a deep-learning enabled single-capture version of qOBM that quadruples the system’s imaging speed and prevents motion artifacts. To this end, we have trained a U-Net GAN to learn the qOBM reconstruction from a single capture obtained with oblique illumination. We show the capabilities and limitations of this approach, as well as some of the novel applications that this system enables, such as in-vivo high-resolution non-invasive blood flow quantitative phase imaging.

Conference Presentation

Citation Download Citation

Paloma Casteleiro Costa, Zhe Guang, Nischita Kaza, and Francisco E. Robles "Single capture quantitative phase imaging with tomographic sectioning", Proc. SPIE 12389, Quantitative Phase Imaging IX, 1238906 (16 March 2023); https://doi.org/10.1117/12.2650539

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