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SAMPLE FINDER

It sounds easy to find your sample on the microscope. But in reality it is sometimes really hard to locate the region of interest on your carrier. Some samples are very small, hard to focus or invisible for the human eye with normal lighting.

The Sample Finder is a machine learning based algorithm and special auto focus and contrast method to help researchers to find and higlight the part of the carrier they are interested in with just one click.

The challenge was to find out the exact requirements and constraints and to integrate a revolutionary simple technology into an existing complex software so that it unleashes the greatest user benefit.

Client
Carl Zeiss Microscopy GmbH via Carl Zeiss Digital Innovation GmbH
Role
UX Design / UX Research
Scope
Prototyping / User Research / UX Design
Tools
Axure / Confluence

Early Prototype

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Final hardware with contrast LED array & implementation in the software

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