Quantitative phase imaging through an ultra-thin lensless fiber endoscope

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作者
Jiawei Sun
Jiachen Wu
Song Wu
Ruchi Goswami
Salvatore Girardo
Liangcai Cao
Jochen Guck
Nektarios Koukourakis
Juergen W. Czarske
机构
[1] Laboratory of Measurement and Sensor System Technique (MST),State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments
[2] TU Dresden,undefined
[3] Competence Center for Biomedical Computational Laser Systems (BIOLAS),undefined
[4] TU Dresden,undefined
[5] Tsinghua University,undefined
[6] Institute for Integrative Nanosciences,undefined
[7] IFW Dresden,undefined
[8] Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin,undefined
[9] Cluster of Excellence Physics of Life,undefined
[10] TU Dresden,undefined
[11] Institute of Applied Physics,undefined
[12] TU Dresden,undefined
来源
Light: Science & Applications | / 11卷
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摘要
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.
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