Bendkowski, C;
Fu, B;
Manescu, P;
Claveau, R;
Fernandez-Reyes, D;
Shaw, MJ;
(2021)
Histological and cytological imaging using Fourier ptychographic microscopy.
In:
Proceedings of Frontiers in Biophotonics and Imaging.
(pp. p. 1187902).
SPIE: Glasgow, Scotland, UK.
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Abstract
Structural imaging using light microscopy is a cornerstone of histology and cytology. However, the utility of the optical microscope for diagnostic imaging is limited by the fundamental tradeoff between the field of view and spatial resolution and a reliance on exogenous dyes to generate sufficient image contrast. Fourier Ptychographic Microscopy (FPM) is a complex imaging modality with the potential to overcome these limitations by recovering high-resolution images of sample amplitude and phase from a set of low-resolution raw images captured under inclined illumination. In this article we explore the application of FPM to clinical imaging using a simple, low-cost FPM system and simulated and experimental data to explore the influence of both image acquisition parameters and hardware configuration on image quality and imaging throughput. The practical performance of the method is investigated by imaging peripheral blood films and histological tissue sections. We find that, at the cost of increased computational complexity, FPM increases the information capture capacity of the optical microscope significantly, allowing label-free examination and quantification of features such as tissue and cell morphology over large sample areas.
Type: | Proceedings paper |
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Title: | Histological and cytological imaging using Fourier ptychographic microscopy |
Event: | Frontiers in Biophotonics and Imaging |
Dates: | 28 September 2021 - 01 October 2021 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1117/12.2604455 |
Publisher version: | https://doi.org/10.1117/12.2604455 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10136291 |
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