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Quantitative phase imaging through an ultra-thin lensless fiber endoscope

Medicine and Health

Quantitative phase imaging through an ultra-thin lensless fiber endoscope

J. Sun, J. Wu, et al.

Discover the groundbreaking work of researchers Jiawei Sun, Jiachen Wu, Song Wu, Ruchi Goswami, Salvatore Girardo, Liangcai Cao, Jochen Guck, Nektarios Koukourakis, and Juergen W. Czarske as they unveil a novel computational lensless microendoscope utilizing ultra-thin multi-core fiber for advanced quantitative phase imaging, promising revolutionary clinical applications with microscale resolution and nanoscale sensitivity.

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~3 min • Beginner • English
Abstract
Quantitative phase imaging (QPI) is a label-free technique providing both morphology and quantitative biophysical information in biomedicine. However, applying such a powerful technique to in vivo pathological diagnosis remains challenging. Multi-core fiber bundles (MCFs) enable ultra-thin probes for in vivo imaging, but current MCF imaging techniques are limited to amplitude imaging modalities. We demonstrate a computational lensless microendoscope that uses an ultra-thin bare MCF to perform quantitative phase imaging with microscale lateral resolution and nanoscale axial sensitivity of the optical path length. The incident complex light field at the measurement side is precisely reconstructed from the far-field speckle pattern at the detection side, enabling digital refocusing in a multi-layer sample without any mechanical movement. The accuracy of the quantitative phase reconstruction is validated by imaging the phase target and hydrogel beads through the MCF. With the proposed imaging modality, three-dimensional imaging of human cancer cells is achieved through the ultra-thin fiber endoscope, promising widespread clinical applications.
Publisher
Light: Science & Applications
Published On
Jan 31, 2022
Authors
Jiawei Sun, Jiachen Wu, Song Wu, Ruchi Goswami, Salvatore Girardo, Liangcai Cao, Jochen Guck, Nektarios Koukourakis, Juergen W. Czarske
Tags
quantitative phase imaging
lensless microendoscope
multi-core fiber
nanoscale sensitivity
biomedical applications
3D imaging
cancer cells
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