Principal component analysis-based quantitative differential interference contrast microscopy

Qi, Wei; Li, Yangyang; Vargas, Javier; Wang, Jian; Gong, Qingtao; Kong, Yan; Jiang, Zhilong; Li, Xue; Liu, Cheng; Liu, Fei; Wang, Shouyu

doi:10.1364/ol.44.000045

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…Figure6(c) shows the retrieved differential thickness image of RBCs. The result is in good agreement with the literature[31]. Figure6(d) presents the height distribution of RBCs, and Fig.6(e) shows a diagonal cross-section of thickness from the selected RBC by the white rectangle in Fig.6(c), showing the biconcave shape of the cell.…”

supporting

confidence: 89%

Low-coherence quantitative differential phase-contrast microscopy using Talbot interferometry

2022

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This paper presents a simple, cost-efficient, and highly stable quantitative differential phase-contrast (PC) microscopy based on Talbot interferometry. The proposed system is composed of an optical microscope coupled with a pair of Ronchi amplitude gratings that utilizes a light-emitting diode as a low temporal coherence light source. The quantitative differential PC images of the microscopic transparent samples are reconstructed by analyzing the deformation of moiré patterns using a phase-shifting procedure. Low temporal coherence leads to eliminating speckle noise and undesirable interferences to obtain high-quality images. The spatial phase stability of the system is investigated and compared to two other common-path interferometers. Additionally, the performance of the method is verified by the experimental results of a standard resolution test target and phase biological samples.

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supporting

confidence: 89%

Low-coherence quantitative differential phase-contrast microscopy using Talbot interferometry

2022

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“…As a common method of phase imaging, differential interference contrast (DIC) technology can produce a relief effect for observing phase objects [8,9] . However, the beam splitter prism can only be set in one direction to the image, and the relief effect only enhances the one-dimension edge.…”

Section: Introductionmentioning

confidence: 99%

Differential interference contrast phase edging net: an all-optical learning system for edge detection of phase objects

Li,

Chen

et al. 2024

中国光学快报

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Edge detection for low-contrast phase objects cannot be performed directly by the spatial difference of intensity distribution. In this work, an all-optical diffractive neural network (DPENet) based on the differential interference contrast principle to detect the edges of phase objects in an all-optical manner is proposed. Edge information is encoded into an interference light field by dual Wollaston prisms without lenses and light-speed processed by the diffractive neural network to obtain the scale-adjustable edges. Simulation results show that DPENet achieves F-scores of 0.9308 (MNIST) and 0.9352 (NIST) and enables real-time edge detection of biological cells, achieving an F-score of 0.7462.

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“…In recent years, reflective differential interference contrast (DIC) digital microscopy system has been widely used in precision processing and inspection fields, such as the observation of conductive particles in thin-film transistor liquid crystal displays [1], the measurement of martensite microstructures, and the classification of individual dielectric nanoparticles [2,3]. DIC microscopy system can be used for qualitative or quantitative measurements of samples [4][5][6][7], as well as for reflective surface assessment [8] and optical profiling [9].…”

Section: Introductionmentioning

confidence: 99%

Study of the Interference Color with Nomarski Prism Wedge Angle in a Differential Interference Contrast Microscopy System

Zhao

2023

Photonics

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Differential interference contrast microscopy systems demonstrate the phase (optical path) rather than the amplitude of a sample. Previous studies have usually approximated the optical path difference produced by the Normarski prism. We derive the mathematical expression for the optical path difference produced by the incident light at any position of the Nomarski prism. As a result, the optical path difference introduced by the differential interference contrast microscope can be calculated. Moreover, the optical path difference is linearly related to the position of the incident light. In addition, the differential interference contrast microscopy system uses a composite light source, while previous studies were basically performed at a single wavelength. The standard wavelengths d (656 nm), F (587 nm), and C (486 nm) are taken as examples to analyze the relationship between the interference color change of the observation surface under the superposition of different wavelengths and the prism wedge angle when the prism moves. When the prism moves the same distance, the larger the prism wedge Angle is, the faster the interference color change is. The analysis based on practical considerations in this paper is believed to provide a method for studying Nomarski prisms.

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Principal component analysis-based quantitative differential interference contrast microscopy

Cited by 12 publications

References 11 publications

Low-coherence quantitative differential phase-contrast microscopy using Talbot interferometry

Low-coherence quantitative differential phase-contrast microscopy using Talbot interferometry

Differential interference contrast phase edging net: an all-optical learning system for edge detection of phase objects

Study of the Interference Color with Nomarski Prism Wedge Angle in a Differential Interference Contrast Microscopy System

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