Digital holography using LCOS microdisplay as input three-dimensional object

Demoli, Nazif; Gladić, Jadranko; Lovrić, Davorin; Abramović, Denis

doi:10.1016/j.ijleo.2019.05.083

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…Optical holography is a technology that adopts a photosensitive medium to record the optical wavefront information and that subsequently superimposes a second wavefront, which is referred to as a diffracted wave, to reconstruct the final image ( Su et al, 2003 ; Wang et al, 2014 ; Lucchetta et al, 2015 ; Deng and Li, 2017 ). Digital holography is established by optical holography, dividing the procedures into recording and reconstruction ( Demoli et al, 2019 ; Xia et al, 2019 ). Digital holography has drawn much attention from researchers as a cell imaging technique, owing to its advantageous characteristics of low production cost, rapid reconstruction speed, flexible recording and capturing of phase information of optical fields ( Wang et al, 2018 ; Zhong et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Cell image reconstruction using digital holography with an improved GS algorithm

Jiang

Li²,

Ling³

et al. 2022

Front. Physiol.

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Digital holography is an effective technology in image reconstruction as amplitude and phase information of cells can be acquired without any staining. In this paper, we propose a holographic technique with an improved Gerchberg-Saxton (GS) algorithm to reconstruct cell imaging based on phase reconstruction information. Comparative experiments are conducted on four specific models to investigate the effectiveness of the proposed method. The morphological parameters (such as shape, volume, and sphericity) of abnormal erythrocytes can be obtained by reconstructing cell hologram of urinary sediment. Notably, abnormal red blood cells can also be detected in mussy circumstances by the proposed method, owing to the significantly biophysical contrast (refractive index distribution and mass density) between two different cells. Therefore, this proposed method has a broad application prospect in cell image reconstruction and cell dynamic detection.

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Section: Introductionmentioning

confidence: 99%

Cell image reconstruction using digital holography with an improved GS algorithm

Jiang

Li²,

Ling³

et al. 2022

Front. Physiol.

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“…Compared with the traditional optical holography [9][10][11] , digital holography [12][13][14] has the advantages of low production cost, fast imaging speed, flexible recording and reproducing of phase information of the extract light field, etc. Digital holography uses photoelectric sensors (such as CCD or COMS) instead of a dry plate to record a hologram, and then stores the hologram in a computer.…”

Section: Introductionmentioning

confidence: 99%

Application of Improved GS Algorithm In Cell Computing Holography

Wang

Guan

et al. 2021

Preprint

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Background: As an important research direction in cell image processing, Computer Hologram(CH) can quantitatively detect and analyze the amplitude and phase information of cells and holographic reconstruct the recorded images. Compared with the traditional optical microscope, CH reduces the complexity of operation, avoids the operation of cell staining and does not affect the physiological characteristics of cells in the recording process. It plays an important role in the field of cell morphology measurement and deformation analysis. Results: An improved Gerchberg-Saxton (GS) algorithm is proposed to reconstruct cell hologram based on phase information. The cell image reconstructed by GS Algorithm with phase restricted conditions are analyzed and compared. Through the comparative experiments of different models, it shows that the improved GS algorithm is better than the traditional GS algorithm in cell image reconstruction based on phase information. With the improved algorithm of phase mapping and normalization conditions, the reconstructed image can distinguish the cell edge information and high signal-to-noise ratio information. The urine sediment image is taken as the experimental object. After reconstruction by this algorithm, other impurity cells can be filtered out, and the aberrant red blood cell image with clear edge can be obtained. This improved algorithm provides a new application for cell detection in clinical diagnosis.Conclusions: The phase map reflects the temporal and spatial information of the image, determines the time or spatial position where different frequency signals appear, and describes the overall shape of the object. Due to biological cells generally for phase type or class phase objects, the improved GS algorithm in this paper can well describe the phase information of restored image, which is more suitable for the practical application of cell phase reconstruction.

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A Novel ReRAM-Based Architecture of Field Sequential Color Driver for High-Resolution LCoS Displays

Han

Kim

2020

IEEE Access

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Digital holography using LCOS microdisplay as input three-dimensional object

Cited by 4 publications

References 32 publications

Cell image reconstruction using digital holography with an improved GS algorithm

Cell image reconstruction using digital holography with an improved GS algorithm

Application of Improved GS Algorithm In Cell Computing Holography

A Novel ReRAM-Based Architecture of Field Sequential Color Driver for High-Resolution LCoS Displays

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