Literature DB >> 31360607

Epi-mode tomographic quantitative phase imaging in thick scattering samples.

Patrick Ledwig1, Francisco E Robles1.   

Abstract

Quantitative phase imaging (QPI) is an important tool in biomedicine that allows for the microscopic investigation of live cells and other thin, transparent samples. Importantly, this technology yields access to the cellular and sub-cellular structure and activity at nanometer scales without labels or dyes. Despite this unparalleled ability, QPI's restriction to relatively thin samples severely hinders its versatility and overall utility in biomedicine. Here we overcome this significant limitation of QPI to enable the same rich level of quantitative detail in thick scattering samples. We achieve this by first illuminating the sample in an epi-mode configuration and using multiple scattering within the sample-a hindrance to conventional transmission imaging used in QPI-as a source of transmissive illumination from within. Second, we quantify phase via deconvolution by modeling the transfer function of the system based on the ensemble average angular distribution of light illuminating the sample at the focal plane. This technique packages the quantitative, real-time sub-cellular imaging capabilities of QPI into a flexible configuration, opening the door for truly non-invasive, label-free, tomographic quantitative phase imaging of unaltered thick, scattering specimens. Images of controlled scattering phantoms, blood in collection bags, cerebral organoids and freshly excised whole mouse brains are presented to validate the approach.

Entities:  

Year:  2019        PMID: 31360607      PMCID: PMC6640824          DOI: 10.1364/BOE.10.003605

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  8 in total

1.  Label-free microendoscopy using a micro-needle imaging probe for in vivo deep tissue imaging.

Authors:  Kwanjun Park; June Hoan Kim; Taedong Kong; Woong Sun; Jonghwan Lee; Taeseok Daniel Yang; Youngwoon Choi
Journal:  Biomed Opt Express       Date:  2020-08-11       Impact factor: 3.732

2.  Towards in-vivo label-free detection of brain tumor margins with epi-illumination tomographic quantitative phase imaging.

Authors:  Paloma Casteleiro Costa; Zhe Guang; Patrick Ledwig; Zhaobin Zhang; Stewart Neill; Jeffrey J Olson; Francisco E Robles
Journal:  Biomed Opt Express       Date:  2021-02-25       Impact factor: 3.732

3.  Optimization of a flexible fiber-optic probe for epi-mode quantitative phase imaging.

Authors:  Zhe Guang; Patrick Ledwig; Paloma Casteleiro Costa; Caroline Filan; Francisco E Robles
Journal:  Opt Express       Date:  2022-05-23       Impact factor: 3.833

4.  Functional imaging with dynamic quantitative oblique back-illumination microscopy.

Authors:  Paloma Casteleiro Costa; Bryan Wang; Caroline Filan; Annie Bowles-Welch; Carolyn Yeago; Krishnendu Roy; Francisco E Robles
Journal:  J Biomed Opt       Date:  2022-06       Impact factor: 3.758

5.  Spatial light interference microscopy: principle and applications to biomedicine.

Authors:  Xi Chen; Mikhail E Kandel; Gabriel Popescu
Journal:  Adv Opt Photonics       Date:  2021-05-05       Impact factor: 24.750

6.  LED array reflectance microscopy for scattering-based multi-contrast imaging.

Authors:  Weiye Song; Alex Matlock; Sipei Fu; Xiaodan Qin; Hui Feng; Christopher V Gabel; Lei Tian; Ji Yi
Journal:  Opt Lett       Date:  2020-04-01       Impact factor: 3.776

7.  Inverse scattering for reflection intensity phase microscopy.

Authors:  Alex Matlock; Anne Sentenac; Patrick C Chaumet; Ji Yi; Lei Tian
Journal:  Biomed Opt Express       Date:  2020-01-14       Impact factor: 3.562

8.  Quantitative phase and polarization imaging through an optical fiber applied to detection of early esophageal tumorigenesis.

Authors:  George S D Gordon; James Joseph; Maria P Alcolea; Travis Sawyer; Calum Williams; Catherine R M Fitzpatrick; Philip H Jones; Massimiliano di Pietro; Rebecca C Fitzgerald; Timothy D Wilkinson; Sarah E Bohndiek
Journal:  J Biomed Opt       Date:  2019-12       Impact factor: 3.170

  8 in total

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