Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications

Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications

Single-board computers (SBCs) and microcontroller boards (MCBs) are extensively used nowadays as prototyping platforms to accomplish innovative tasks. Very recently, implementations of these devices for diagnostics applications are rapidly gaining ground for research and educational purposes. Among...

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Bibliographic Details
Main Authors: Alessandro Tonelli, Veronica Mangia, Alessandro Candiani, Francesco Pasquali, Tiziana Jessica Mangiaracina, Alessandro Grazioli, Michele Sozzi, Davide Gorni, Simona Bussolati, Annamaria Cucinotta, Giuseppina Basini, Stefano Selleri
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
Raspberry Pi
CMOS
raw data
photometric analysis
imaging
oxidative stress
Online Access:https://www.mdpi.com/1424-8220/21/10/3552

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https://www.mdpi.com/1424-8220/21/10/3552

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