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Colorimetric detection, while a user-friendly and easily implemented method of analysis on low-cost analytical devices, often suffers from subjectivity by the device user. We describe the development of a single board computing system to automatically analyze colorimetric samples. Single board computing systems such as Raspberry Pi, offer significant computing power in a small, inexpensive package.
The full text of this article hosted at iucr.org is unavailable due to technical difficulties. Communication Utilizing Paper‐Based Devices for Antimicrobial‐Resistant Bacteria Detection Dr. Brian J. Geiss Corresponding Author E-mail address: Brian.Geiss@colostate.edu Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523 USA Search for more papers by this author Dr. Elizabeth P.
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