OPT OpenIR  > 瞬态光学研究室
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; Yao, BL1,2
作者部门瞬态光学研究室
2021-11
发表期刊SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
ISSN1674-7348;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
DOI10.1007/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
被引频次:27[WOS]   [WOS记录]     [WOS相关记录]
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).
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
High-throughput fast(2488KB)期刊论文出版稿限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Gao, YT]的文章
[Chen, JR]的文章
[Wang, AY]的文章
百度学术
百度学术中相似的文章
[Gao, YT]的文章
[Chen, JR]的文章
[Wang, AY]的文章
必应学术
必应学术中相似的文章
[Gao, YT]的文章
[Chen, JR]的文章
[Wang, AY]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。