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ImageBox3: No-Server Tile Serving to Traverse Whole Slide Images on the Web.

CoRR(2022)

National Institutes of Health | Stony Brook University | University of Calgary

Cited 1|Views18
Abstract
Whole slide imaging (WSI) has become the primary modality for digital pathology data. However, due to the size and high-resolution nature of these images, they are generally only accessed in smaller sections or tiles via specialized platforms, most of which require extensive setup and/or costly infrastructure. These platforms typically also need a copy of the images to be locally available to them, potentially causing issues with data governance and provenance. To address these concerns, we developed ImageBox3, an in-browser tiling mechanism to enable zero-footprint traversal of remote WSI data. All computation is performed client-side without compromising user governance, operating public and private images alike as long as the storage service supports HTTP range requests (standard in Cloud storage and most web servers). ImageBox3 thus removes significant hurdles to WSI operation and effective collaboration, allowing for the sort of democratized analytical tools needed to establish participative, FAIR digital pathology data commons. Availability: code - https://github.com/episphere/imagebox3; fig1 (live) - https://episphere.github.io/imagebox3/demo/scriptTag ; fig2 (live) - https://episphere.github.io/imagebox3/demo/serviceWorker ; fig 3 (live) - https://observablehq.com/@prafulb/imagebox3-in-observable .
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Key words
Whole Slide Imaging,Image Processing
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要点】:本文提出了一种浏览器内 tiles 机制 ImageBox3,实现了无需服务器即可在网页上浏览远程全切片图像,解决了传统数字病理平台对硬件和本地数据副本的需求问题,促进了 WSI 数据的有效合作与共享。

方法】:通过在客户端进行所有计算,并且利用支持 HTTP range 请求的存储服务,ImageBox3 实现了远程 WSI 数据的无足迹遍历。

实验】:论文通过演示页面展示了 ImageBox3 的实际应用,使用的数据集为公开可访问的 WSI 图像,并通过 GitHub 提供了代码和实时示例。