Evidence map›Paper›PMID 40530892›Full record

ArticleCancer medicine2025

Advancing Tumor Budding Detection With Fourier Ptychography Microscopy.

Yiyan Su, Ruiqing Sun, Yajing Wang, Yanfeng Xi, Shaohui Zhang

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yiyan SuDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi Province, China.ORCID https://orcid.org/0009-0004-6154-8296
Ruiqing SunSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.
Yajing WangDepartment of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Yanfeng XiDepartment of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Shaohui ZhangSchool of Optics and Photonics, Beijing Institute of Technology, Beijing, China.

Funding

National Natural Science Foundation of China 82172659National Natural Science Foundation of China BD2023006Shanxi Provincial Health Commission of China 2020TD07
6 · The paper itself

Abstract

backgroundTumor budding is an independent predictor of metastasis and prognosis in colorectal cancer and is a vital part of the pathology specification report. In a conventional pathological section observation process, pathologists have to repeatedly switch from 10× objective to 20× objective several times to localize and image the target region. Besides the switching operations, repeated manual or electro-mechanical focusing is also very time-consuming, affecting the total time for pathological diagnosis. In addition, it is usually necessary to remove the manually marked symbols on the stained pathology slides used for classification and management before observation.

methodsIn this paper, we utilize Fourier ptychographic microscopy (FPM) in the pathological diagnosis process to realize large space-bandwidth product imaging, quantitative phase imaging, and digital refocusing in the observation process without any mechanical operations, which can therefore simplify the above-mentioned cumbersome diagnostic processes. We first verify the effectiveness and efficiency of the proposed method with several typical pathological sections. Then, instead of manually erasing, we also prove that the FP framework can digitally remove the artificial markers with its digital refocusing ability.

resultsAt last, we demonstrated pathologists can achieve 100% diagnostic accuracy with FPM imaging results.

conclusionsThe proposed method can greatly simplify the process of pathological diagnosis, and the related addon hardware system does not require expensive components, which gives it great potential for promotion in the field of pathological diagnosis.

Indexed as

Colorectal NeoplasmsMicroscopyFourier AnalysisHumansImage Processing, Computer-Assistedcolorectal cancercountfourier ptychographic microscopytumor budding

Identifiers

PMID40530892
PMCPMC12175198

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