Evidence map›Paper›PMID 31281778›Full record

ArticleQuantitative imaging in medicine and surgery2019

Rapid and robust whole slide imaging based on LED-array illumination and color-multiplexed single-shot autofocusing.

Shaowei Jiang, Zichao Bian, Xizhi Huang, Pengming Song, He Zhang, Yongbing Zhang, Guoan Zheng

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Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers 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

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shaowei JiangDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
Zichao BianDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
Xizhi HuangDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
Pengming SongDepartment of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA.
He ZhangDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.
Yongbing ZhangShenzhen Key Lab of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China.
Guoan ZhengDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital pathology is experiencing an exponential period of growth catalyzed by advancements in imaging hardware and progresses in machine learning. The use of whole slide imaging (WSI) for digital pathology has recently been cleared for primary diagnosis in the US. The demand for using frozen section procedure for rapid identification of cancerous tissue during surgery is another driving force for the development of WSI. A conventional WSI system scans the tissue slide to different positions and acquires the digital images. In a typical implementation, a focus map is created prior to the scanning process, leading to significant overhead time and a necessity for high positional accuracy of the mechanical system. The resulting cost of WSI system is often prohibitive for frozen section procedure during surgery.

methodsWe report a novel WSI scheme based on a programmable LED array for sample illumination. In between two regular brightfield image acquisitions, we acquire one additional image by turning on a red and a green LED for color multiplexed illumination. We then identify the translational shift of the red- and green-channel images by maximizing the image mutual information or cross-correlation. The resulting translational shift is used for dynamic focus correction in the scanning process. Since we track the differential focus during adjacent acquisitions, there is no positional repeatability requirement in our scheme.

resultsWe demonstrate a prototype WSI platform with a mean focusing error of ~0.3 microns. Different from previous implementations, this prototype platform requires no focus map surveying, no secondary camera or additional optics, and allows for continuous sample motion in the focus tracking process.

conclusionsA programmable LED array can be used for color-multiplexed single-shot autofocusing in WSI. The reported scheme may enable the development of cost-effective WSI platforms without positional repeatability requirement. It may also provide a turnkey solution for other high-content microscopy applications.

Indexed as

Digital pathologydynamic focus trackingLED-array illuminationsingle-shot autofocusingwhole slide imaging (WSI)

Identifiers

PMID31281778
PMCPMC6571198

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.