Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications
| Autor: | Veronica Mangia, Stefano Selleri, Tiziana Jessica Mangiaracina, Michele Sozzi, Giuseppina Basini, Annamaria Cucinotta, Alessandro Tonelli, Francesco Pasquali, Alessandro Candiani, Davide Gorni, Alessandro Grazioli, Simona Bussolati |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Raspberry Pi TP1-1185 01 natural sciences Biochemistry Article Analytical Chemistry Raspberry pi photometric analysis 03 medical and health sciences horse blood Horse blood d-ROM Fast oxidative stress Electrical and Electronic Engineering Adaptation (computer science) Instrumentation raw data 030304 developmental biology 0303 health sciences business.industry Chemical technology 010401 analytical chemistry CMOS imaging Atomic and Molecular Physics and Optics 0104 chemical sciences Microcontroller business Raw data Computer hardware PAT |
| Zdroj: | Sensors, Vol 21, Iss 3552, p 3552 (2021) Sensors Volume 21 Issue 10 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| Popis: | 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 the available solutions, Raspberry Pi represents one of the most used SBCs. In the present work, two setups based on Raspberry Pi and its CMOS-based camera (a 3D-printed device and an adaptation of a commercial product named We-Lab) were investigated as diagnostic instruments. Different camera elaboration processes were investigated, showing how direct access to the 10-bit raw data acquired from the sensor before downstream imaging processes could be beneficial for photometric applications. The developed solution was successfully applied to the evaluation of the oxidative stress using two commercial kits (d-ROM Fast PAT). We suggest the analysis of raw data applied to SBC and MCB platforms in order to improve results. |
| Databáze: | OpenAIRE |
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