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Updated: Apr 16, 2026

Digital Microfluidics for Automated Proteomic Processing
Published on: November 6, 2009
Design and evaluation of low-cost, DIY programmable tissue processor for solvent exchange in biological sample
May Wang1, Samantha Pelletier2, Alexis Ellis3
1Department of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, United States of America.
This study introduces a low-cost, open-source automated tissue processor. It automates laborious staining protocols, saving time and reducing manual labor for biological imaging.
Area of Science:
- Biological Imaging
- Microscopy Techniques
- Tissue Processing
Background:
- Microscopy requires tissue preparation, often involving time-consuming dehydration and rehydration steps for staining.
- Standard protocols, like those using propidium iodide (PI), are manually intensive and require significant hands-on time.
- Commercial automated tissue processors are effective but prohibitively expensive for many research laboratories.
Purpose of the Study:
- To develop and present an open-source, low-cost automated tissue processor.
- To reduce the manual labor and time associated with biological tissue preparation for imaging.
- To provide an accessible alternative to expensive commercial tissue processing equipment.
Main Methods:
- Designed and built a low-cost (~$400) automated tissue processor using readily available parts.
- Developed custom software enabling users to define and save automated protocols.
- Automated a multi-day propidium iodide (PI) staining protocol for various plant tissues.
Main Results:
- Successfully automated PI staining across multiple plant species and tissue types, reducing hands-on labor.
- Demonstrated comparable tissue quality between samples processed by the automated system and manual methods.
- The automated processor functions reliably across different users and experimental conditions.
Conclusions:
- The developed open-source automated tissue processor offers a practical and affordable solution for biological laboratories.
- This system significantly reduces hands-on time and labor for essential tissue preparation steps.
- Provides accessibility to automated tissue processing, benefiting a wide range of research settings.
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