Design of a reduced objective Lens fluorescence dPCR Gene chip detection system with high-throughput and large field of view

Otuboah, Francis Yaw; Jiao, Z.; Tian-yun, Zhu; Cheng, Chuanfu

doi:10.1016/j.ijleo.2018.11.052

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Digital holographic microscopy has been widely used for micro-particle imaging and tracking [2], polymer growth monitoring [3,4], and biological cell observation [5][6][7][8][9], as it is capable of simultaneously recording and reproducing three-dimensional information about an object and measuring samples in a non-invasive and non-contact manner. A fluorescence microscope was proposed to improve the contrast of cell imaging [10,11]. However, prior to using such a microscope, biological cells need to be stained with rhodamine, acridine orange, or green fluorescent protein [12].…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

Investigation of an Improved Angular Spectrum Method Based on Holography

Wu,

Yang,

Wang

et al. 2023

Photonics

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“…Optical microscopy has difficulty capturing the three-dimensional spatial information of specimens. In addition, fluorescence microscopy demonstrated great performance in enhancing the contrast in cell images (Otuboah et al, 2019;Wen et al, 2020). Before observation using fluorescence microscopy, stains and dyes, such as rhoda mine, acridine orange, green fluorescent protein or other substances, are usually employed to mark biological cells to enhance the contrast in different biological specimens (Kricka and Fortina, 2009).…”

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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