# sWSI: A Low-cost and Commercial-quality Whole Slide Imaging System on   Android and iOS Smartphones

**Authors:** Shuoxin Ma, Tan Wang

arXiv: 1704.01088 · 2017-04-05

## TL;DR

sWSI is a scalable, low-cost whole slide imaging system on smartphones that produces high-quality giga-pixel virtual slides quickly, supporting clinical applications with minimal cost and high robustness.

## Contribution

The paper introduces a novel smartphone-based system for high-throughput, cost-effective whole slide imaging that matches high-end scanners in quality and supports clinical workflows.

## Key findings

- Digitizes 15x15mm samples in 30 seconds at 4X magnification
- Costs under $1 per scan
- Virtual slide quality comparable to high-end scanners

## Abstract

In this paper, scalable Whole Slide Imaging (sWSI), a novel high-throughput, cost-effective and robust whole slide imaging system on both Android and iOS platforms is introduced and analyzed. With sWSI, most mainstream smartphone connected to a optical eyepiece of any manually controlled microscope can be automatically controlled to capture sequences of mega-pixel fields of views that are synthesized into giga-pixel virtual slides. Remote servers carry out the majority of computation asynchronously to support clients running at satisfying frame rates without sacrificing image quality nor robustness. A typical 15x15mm sample can be digitized in 30 seconds with 4X or in 3 minutes with 10X object magnification, costing under $1. The virtual slide quality is considered comparable to existing high-end scanners thus satisfying for clinical usage by surveyed pathologies. The scan procedure with features such as supporting magnification up to 100x, recoding z-stacks, specimen-type-neutral and giving real-time feedback, is deemed work-flow-friendly and reliable.

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/1704.01088/full.md

## References

9 references — full list in the complete paper: https://tomesphere.com/paper/1704.01088/full.md

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Source: https://tomesphere.com/paper/1704.01088