Fourier ptychographic microscopy using wavelength multiplexing

Wu, Jiamin; Bian, Zichao; Suo, Jinli; Zheng, Guoan; Dai, Qionghai

doi:10.1117/1.jbo.22.6.066006

Cited by 30 publications

(12 citation statements)

References 44 publications

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“…But the pixel size of a chromatic camera is usually larger than the monochrome camera, otherwise, the photon efficiency will be fairly low. Also, it needs to correct the error of color leakage [31]. The third approach is termed wavelengthmultiplexed FPM (WMFPM) scheme with a monochrome camera and multi-wavelength simultaneous illuminations [25,[31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

High-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer

Gao

Chen

Wang

et al. 2021

Sci. China Phys. Mech. Astron.

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Full-color imaging is significant in digital pathology. Compared with a grayscale image or a pseudo-color image that only contains the contrast information, it can identify and detect the target object better with color texture information. Fourier ptychographic microscopy (FPM) is a high-throughput computational imaging technique that breaks the tradeoff between high resolution (HR) and large field-of-view (FOV), which eliminates the artifacts of scanning and stitching in digital pathology and improves its imaging efficiency. However, the conventional full-color digital pathology based on FPM is still time-consuming due to the repeated experiments with tri-wavelengths. A color transfer FPM approach, termed CFPM was reported. The color texture information of a low resolution (LR) full-color pathologic image is directly transferred to the HR grayscale FPM image captured by only a single wavelength. The color space of FPM based on the standard CIE-XYZ color model and display based on the standard RGB (sRGB) color space were established. Different FPM colorization schemes were analyzed and compared with thirty different biological samples. The average root-mean-square error (RMSE) of the conventional method and CFPM compared with the ground truth is 5.3% and 5.7%, respectively. Therefore, the acquisition time is significantly reduced by 2/3 with the sacrifice of precision of only 0.4%. And CFPM method is also compatible with advanced fast FPM approaches to reduce computation time further.

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Section: Introductionmentioning

confidence: 99%

High-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer

Gao

Chen

Wang

et al. 2021

Sci. China Phys. Mech. Astron.

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show abstract

“…By illuminating multiple LEDs at a time for each captured image, it was shown that the incoherent superposition of the contribution of each LED could be separated within a novel reconstruction algorithm. After this demonstration, several strategies were proposed to choose alternative multiplexing LED patterns [128][129][130][131][132], and similar approaches were also later suggested for spectral multiplexing [79,133]. One of the fastest FP systems to date was demonstrated using this multiplexing concept [26].…”

Section: High-speed Fourier Ptychographymentioning

confidence: 99%

Fourier ptychography: current applications and future promises

et al. 2020

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Traditional imaging systems exhibit a well-known trade-off between the resolution and the field of view of their captured images. Typical cameras and microscopes can either "zoom in" and image at high-resolution, or they can "zoom out" to see a larger area at lower resolution, but can rarely achieve both effects simultaneously. In this review, we present details about a relatively new procedure termed Fourier ptychography (FP), which addresses the above trade-off to produce gigapixel-scale images without requiring any moving parts. To accomplish this, FP captures multiple low-resolution, large field-of-view images and computationally combines them in the Fourier domain into a high-resolution, large field-of-view result. Here, we present details about the various implementations of FP and highlight its demonstrated advantages to date, such as aberration recovery, phase imaging, and 3D tomographic reconstruction, to name a few. After providing some basics about FP, we list important details for successful experimental implementation, discuss its relationship with other computational imaging techniques, and point to the latest advances in the field while highlighting persisting challenges.

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“…However, large overlapped and sequential acquisitions are required to synthesize the FPM data, which restricts conventional FPM to static and thin samples. To solve this problem, different techniques such as sparse sampling [3,4] and adaptive sampling method [5,6] with different regularizations [7] are applied to greatly reduce the image numbers required for FPM reconstruction. In the meantime, other modeling methods such as ptychographic tomography [8] are proposed to extend the method to thick samples.…”

Section: Sbp Limitmentioning

confidence: 99%