Compact common-path polarisation holographic microscope for measuring spatially-resolved Jones matrix parameters of dynamic samples in microfluidics

Chen, Guixiang; Zhang, Yingying; Yang, Yang; Huang, Hongyi; Yue, Qing-Yang; Guo, Chen

doi:10.1016/j.optcom.2021.127460

Cited by 6 publications

(1 citation statement)

References 35 publications

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“…This technique, called Jones phase microscopy (JPM), processes images recorded under orthogonally polarized illumination beams, which are mixed with the orthogonally polarized reference beams to retrieve the whole Jones matrix of the specimen. Various experimental configurations were successfully implemented, including the common-path DH geometries, enhancing the resistance against external vibrations. − Further realizations also enabled a single-shot reconstruction of a whole Jones matrix using DH. − A different approach is presented by Aknoun and co-workers , that is based on quadri-wave lateral shearing interferometry. Extraction of the polarization parameters follows the principles of polarimetric-based approaches in the sense that multiple snapshots corresponding to variously polarized illumination probes are processed to retrieve the phase profiles.…”

Section: Introductionmentioning

confidence: 99%

Toward an All-Optical Fingerprint of Synthetic and Natural Microplastic Fibers by Polarization-Sensitive Holographic Microscopy

et al. 2022

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Microplastic fibers from synthetic textiles have been indicated as a major source of pollution because millions of fibers are released into the environment by laundry washing. In fact, such types of microplastics usually bypass wastewater treatment processes and filters, thus reaching the oceans and other water natural reservoirs in huge quantities. Nowadays, several approaches are available for characterizing microplastics, but unfortunately, there is no unique and standard method for this aim. Among the various methodologies, several microscopy techniques such as optical microscopy (OM), scanning electron microscopy coupled with energy dispersive X-ray (SEM−EDX) analysis, or OM combined with molecular spectroscopy can be used for visual detection and measurements. Our proposal is a non-destructive method based on a digital holographic microscope in a configuration fully sensitive to the polarization of light transmitted by the fibers with a micron dimension. Our aim is to prove that the proposed approach allows for the precise characterization of synthetic and natural fibers in water. The method exploits all the advantages of digital holography such as numerical refocusing, non-invasive testing, and quantitative measurements of the complex wave field by adding access to the polarization of light that conveys meaningful information about materials. We intend to show that a unique all-optical fingerprint can be retrieved using the Jones-matrix formalism for the major classes of synthetic microfilaments used in the textile industry (i.e., polyamide 6, polyamide 6.6, polypropylene, and polyester) and for the most common natural fibers (i.e., wool and cotton) prepared according to previously developed appropriate protocols. Our results show that the proposed technology identifies new features for micron-sized fibers based on optical anisotropy through quantitative digital holography that could open future routes for automatic and all-optical identification of textile contaminants in water.

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Section: Introductionmentioning

confidence: 99%

Toward an All-Optical Fingerprint of Synthetic and Natural Microplastic Fibers by Polarization-Sensitive Holographic Microscopy

et al. 2022

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Hilbert–Huang single-shot slightly-off-axis Jones matrix holography measurement

Shan,

Yu,

et al. 2025

Optics Communications

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Coincidence imaging for Jones matrix with a deep-learning approach

Xi,

Yung,

Liang

et al. 2024

npj Nanophoton.

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Coincidence measurement has become an emerging technique for optical imaging. Based on measuring the second-order coherence g2, sample features such as reflection/transmission amplitude and phase delay can be extracted with developed algorithms pixel-by-pixel. However, an accurate measurement of g2 requires a substantial number of collected photons which becomes difficult under low-light conditions. Here, we propose a deep-learning approach for Jones matrix imaging using photon arrival data directly. A variational autoencoder (β-VAE) is trained using numerical data in an unsupervised manner to obtain a minimal data representation, which can be transformed into an image with little effort. We demonstrate as few as 88 photons collected per pixel on average to extract a Jones matrix image, with accuracy surpassing previous semi-analytic algorithms derived from g2. Our approach not only automates formulating imaging algorithms but can also assess the sufficiency of information from a designed experimental procedure, which can be useful in equipment or algorithm designs for a wide range of imaging applications.

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Compact common-path polarisation holographic microscope for measuring spatially-resolved Jones matrix parameters of dynamic samples in microfluidics

Cited by 6 publications

References 35 publications

Toward an All-Optical Fingerprint of Synthetic and Natural Microplastic Fibers by Polarization-Sensitive Holographic Microscopy

Toward an All-Optical Fingerprint of Synthetic and Natural Microplastic Fibers by Polarization-Sensitive Holographic Microscopy

Hilbert–Huang single-shot slightly-off-axis Jones matrix holography measurement

Coincidence imaging for Jones matrix with a deep-learning approach

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