Motion resolved quantitative phase imaging (Conference Presentation)

Michael R. Kellman; Zachary F. Phillips; David Ren; Michael Lustig; Laura Waller

doi:10.1117/12.2300100

15 May 2018 Motion resolved quantitative phase imaging (Conference Presentation)

Michael R. Kellman, Zachary F. Phillips, David Ren, Michael Lustig, Laura Waller

Proceedings Volume 10669, Computational Imaging III; 106690D (2018) https://doi.org/10.1117/12.2300100
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

Abstract

Fourier Ptychographic Microscopy (FPM) and Differential Phase Contrast (DPC) are quantitative phase imaging (QPI) methods that recover the complex transmittance function of a sample through coded illumination measurements and phase retrieval optimization. The successes of these methods rely upon acquiring several or possibly hundreds of illumination-encoded measurements. The multi-shot nature of such methods limits their temporal resolution. Similar to motion-induced blur during a long photographic exposure, motion occurring during these acquisitions causes spatial distortion and errors in the reconstructed phase, which inhibits these methods' ability to image fast moving live samples. Here we present a novel approach to correct for motion during QPI capture that relies on motion navigation to register measurements together prior to phase retrieval. The different illumination patterns required for QPI cause the measurements to have a different contrasts. This makes it difficult to use standard registration approaches to estimate complex sample motion directly from the measurements. Instead, we use a color-multiplexed navigator signal (red) that is comprised of a constant illumination pattern and leverage a color camera to separate it from the primary QPI information (green). The reliable motion estimate allows measurements to be shared across time points through image registration. This enables a full set of measurements for a phase retrieval problem to be solved at each time point. We demonstrate proof-of-concept experimental results in which blurring due to live sample motion (swimming Zebra fish, cell motion, and organelle movement) is reduced.

Conference Presentation

Citation Download Citation

Michael R. Kellman, Zachary F. Phillips, David Ren, Michael Lustig, and Laura Waller "Motion resolved quantitative phase imaging (Conference Presentation)", Proc. SPIE 10669, Computational Imaging III, 106690D (15 May 2018); https://doi.org/10.1117/12.2300100

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Motion measurement

Phase imaging

Phase retrieval

Image registration

Motion estimation

Phase measurement

Microscopy

Show All Keywords

Keywords/Phrases

Search In:

Publication Years