High-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer | |
Gao, YT1,2; Chen, JR1,2; Wang, AY1,2; Pan, A1; Ma, CW1![]() ![]() | |
作者部门 | 瞬态光学研究室 |
2021-11 | |
发表期刊 | SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
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ISSN | 1674-7348;1869-1927 |
卷号 | 64期号:11 |
产权排序 | 1 |
摘要 | The usage of full-color imaging in digital pathology produces significant results. Compared with a grayscale image or a pseudocolor image containing contrast information, a full-color image 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 a large field of view. It also 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 because of the repeated experiments with tri-wavelengths. A color transfer FPM approach termed CFPM was reported. The color texture information of a low-resolution full-color pathologic image is directly transferred to the HR grayscale FPM image captured by only a single wavelength. Both of the color space of FPM based on the standard CIE-XYZ color model and the display based on the standard RGB color space were established. Different FPM colorization schemes were analyzed and compared with 30 biological samples. Three types of evaluation approaches were provided, including the root-mean-square error (RMSE), the difference maps, and the image histogram cosine similarity. The average RMSE values of the conventional method and CFPM compared with the ground truth were 5.3% and 5.7%, respectively. Therefore, the reconstruction time is significantly reduced by 2/3 with the sacrifice of precision of only 0.4%. The CFPM method is also compatible with advanced fast FPM approaches to further reduce computation time. |
关键词 | computational imaging Fourier ptychographic microscopy digital pathology high throughput transfer learning 42.30.-d 42.25.Fx 42.30.Rx |
DOI | 10.1007/s11433-021-1730-x |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000682673300001 |
出版者 | SCIENCE PRESS |
EI入藏号 | 20213210747788 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/95000 |
专题 | 瞬态光学研究室 |
通讯作者 | Pan, A; Ma, CW |
作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, YT,Chen, JR,Wang, AY,et al. High-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,2021,64(11). |
APA | Gao, YT,Chen, JR,Wang, AY,Pan, A,Ma, CW,&Yao, BL.(2021).High-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer.SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,64(11). |
MLA | Gao, YT,et al."High-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer".SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY 64.11(2021). |
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