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SurfaceSlide: a multitouch digital pathology platform.

Yinhai Wang¹, Kate E Williamson, Paul J Kelly

¹Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, United Kingdom. y.wang@qub.ac.uk

|February 1, 2012

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SurfaceSlide offers intuitive fingertip control for navigating and annotating digital pathology slides. This novel platform enhances the user experience for digital pathology applications in education and clinical practice.

Area of Science:

Digital pathology
Medical imaging
Human-computer interaction

Background:

Digital pathology facilitates management and interpretation of pathological images.
Current digital pathology tools are often single-user and rely on cumbersome mouse/keyboard interfaces.
Widespread adoption is hindered by usability challenges in navigation and annotation.

Purpose of the Study:

To develop an intuitive and efficient platform for digital pathology image interaction.
To overcome the limitations of traditional mouse-and-keyboard navigation in digital pathology.
To enhance the user experience for digital slide analysis.

Main Methods:

Developed SurfaceSlide, a dedicated viewing platform utilizing a multitouch tabletop.
Enabled direct fingertip panning and zooming of gigapixel pathology images.

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Implemented a smart caching protocol for smooth image delivery and reduced latency.

Compared SurfaceSlide usability against existing digital pathology viewers.

Main Results:

SurfaceSlide provides intuitive, fast, and easy navigation and annotation of digital slides.
The platform offers a direct and intimate human-digital slide interaction.
Users experience a smooth and vivid interaction with gigapixel images.

Conclusions:

SurfaceSlide significantly improves the usability of digital pathology tools.
The platform enhances digital slide interaction for education and clinical practice.
SurfaceSlide is expected to accelerate the adoption of digital pathology.