Cell image reconstruction using digital holography with an improved GS algorithm

Jiang, Yuhao; Li, Hongzhong; Ling, Jiwei; Wang, Hao; Yang, Yuling; Li, Xinyu; Yin, Tian; Wang, Xiuxin

doi:10.3389/fphys.2022.1040777

Cited by 6 publications

(6 citation statements)

References 37 publications

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“…In addition, digital holography can be combined with other analytical methods, such as computer vision and machine learning, to further improve the accuracy and speed of detecting and analyzing cytoplasmic abnormalities [38]. This combination can utilize the rich information of digital holograms for more comprehensive cellular analysis [39] and automate and efficiently assess cellular states and abnormalities through the application of algorithms and models.…”

Section: Experimental Discussion Of Improved Angular Spectrum Methods...mentioning

confidence: 99%

Investigation of an Improved Angular Spectrum Method Based on Holography

Wu,

Yang,

Wang

et al. 2023

Photonics

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Digital holography (DH) is a novel, real-time, non-destructive, and quantitative phase-contrast imaging method that is particularly suitable for label-free live biological cell imaging and real-time dynamic monitoring. It is currently a research hotspot in the interdisciplinary field of optics and biomedical sciences, both domestically and internationally. This article proposes an improved angle spectrum algorithm based on holographic technology, which reconstructs a cellular hologram based on phase information. Optical images and chromosome cell images, reconstructed using holographic technology at different diffraction distances under the improved angle spectrum algorithm, were analyzed and compared. The optimal diffraction distance for reconstructing chromosome cell images was selected, and chromosome cell images reproduced using traditional angle spectrum algorithms, angle spectrum algorithms combined with GS, and improved angle spectrum algorithms were compared. Comparative experiments with the different models show that the proposed algorithm is superior to traditional angle spectrum algorithms in reconstructing cell images based on phase information. Furthermore, experiments have shown that images reconstructed using the improved algorithm can resolve high signal-to-noise ratio information. This algorithmic improvement provides new applications for cellular detection in clinical diagnostics and is more suitable for cell phase reconstruction in practical applications.

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Section: Experimental Discussion Of Improved Angular Spectrum Methods...mentioning

confidence: 99%

Investigation of an Improved Angular Spectrum Method Based on Holography

Wu,

Yang,

Wang

et al. 2023

Photonics

Self Cite

View full text Add to dashboard Cite

show abstract

“…The GS algorithm implemented in this paper has been well studied for previously in the context of digital holographic microscopy [19][20][21]. Seeing as the physical process behind the DLHM is similar to that of traditional DHM, the efficacy of the GS algorithm maintained its validity just as previous utilizations have [19][20][21].…”

mentioning

confidence: 81%

“…Initially, n number of holograms of samples at various heights are aligned onto the same domain using feature-based registration. Then, the Gerchberg-Saxton Iterative algorithm [18,19] as shown in Figure 2 retrieves the complex amplitude of the object's light using a several step procedure: 1.…”

Section: Computational Implementation 231 Phase Reconstructionmentioning

confidence: 99%

Seeing cells without a lens: Compact 3D digital lensless holographic microscopy for wide-field imaging

Yang,

2023

TNS

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Optical microscopy is an essential tool for biomedical discoveries and cell diagnosis at micro- to nano-scales. However, conventional microscopes rely on lenses to record 2-D images of samples, which limits in-depth inspection of large volumes of cells. This research project implements a novel 3-D lensless microscopic imaging system that achieves a wide field of view, high resolution, and an extremely compact, cost-effective design: the Digital Lensless Holographic Microscope (DLHM).A lensless holographic microscope is built with only a light source, a sample, and an imaging chip (with other non-essential supporting structures). The entire setup costs $500 to $600. A series of MATLAB-based algorithms were designed to reconstruct phase information of samples simultaneously from the recorded hologram with built-in high-resolution and phase unwrapping functions. This produces 3-D images of cell samples. The 3-D cell reconstruction of biological samples maintained a comparable resolution with conventional optical microscopes while covering a field of view of 36.2 mm2, which is 20-30 times larger. While most microscopes are extremely time-consuming and require professional expertise, the lensless holographic microscope is portable, low-cost, high-stability, and extremely simple. This makes it accessible for point-of-care testing (POCT) to a broader coverage, including developing regions with limited medical facilities.

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“…Initially, n number of holograms of samples at various heights are aligned onto the same domain using feature-based registration. Then, the Gerchberg-Saxton Iterative algorithm [18,19] as shown in Fig. 2 retrieves the complex amplitude of the object's light using a several step procedure:…”

Section: Computational Implementation 231 Phase Reconstructionmentioning

confidence: 99%

Seeing Cells without a Lens: Compact 3D Digital Lensless Holographic Microscopy for Wide-field Imaging

Yang,

2023

Preprint

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Optical microscopy is an essential tool for biomedical discoveries and cell diagnosis at micro- to nano-scales. However, conventional microscopes rely on lenses to record 2-D images of samples, which limits in-depth inspection of large volumes of cells. This research project implements a novel 3-D lensless microscopic imaging system that achieves a wide field of view, high resolution, and an extremely compact, cost-effective design: the Digital Lensless Holographic Microscope (DLHM).A lensless holographic microscope is built with only a light source, a sample, and an imaging chip (with other non-essential supporting structures). The entire setup costs $500 to $600. A series of MATLAB-based algorithms were designed to reconstruct phase information of samples simultaneously from the recorded hologram with built-in high-resolution and phase unwrapping functions. This produces 3-D images of cell samples.The 3-D cell reconstruction of biological samples maintained a comparable resolution with conventional optical microscopes while covering a field of view of 36.2mm2, which is 20-30 times larger. While most microscopes are extremely time-consuming and require professional expertise, the lensless holographic microscope is portable, low-cost, high-stability, and extremely simple. This makes it accessible for point-of-care testing (POCT) to a broader coverage, including developing regions with limited medical facilities.

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Cell image reconstruction using digital holography with an improved GS algorithm

Cited by 6 publications

References 37 publications

Investigation of an Improved Angular Spectrum Method Based on Holography

Investigation of an Improved Angular Spectrum Method Based on Holography

Seeing cells without a lens: Compact 3D digital lensless holographic microscopy for wide-field imaging

Seeing Cells without a Lens: Compact 3D Digital Lensless Holographic Microscopy for Wide-field Imaging

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