RaspArray and MADApp : System for reproducible microarray imaging and data analysis across research settings
Download full text files
Additional Services
Statistics
| Document Type: | Article (peer-reviewed) |
|---|---|
| Author: | Filip PaskaliORCiDGND, Weronika ScharyORCiDGND, Michaela Lipp, Johanna Dabernig-Heinz, Johannes Smolle, Trung T. Trinh, Susanna J. Dunachie, Ralf Ehricht, Ivo Steinmetz, Matthias KohlORCiDGND, Gabriel E. Wagner |
| URN: | https://urn:nbn:de:bsz:fn1-opus4-136397 |
| DOI: | https://doi.org/10.1016/j.bspc.2026.111405 |
| Related identifier: | Open software s. https://github.com/fpaskali/MADApp |
| ISSN: | 1746-8108 |
| Parent Title (English): | Biomedical Signal Processing and Control |
| Language: | English |
| Year of Completion: | 2027 |
| Release Date: | 2026/10/02 |
| Tag: | Field-based diagnostics; High-throughput screening; Image analysis; Microarray analysis; Open-source platform; Raspberry Pi |
| Volume: | 129.2027 Part A |
| Article Number: | 111405 |
| Page Number: | 10 |
| Note: | Supplementary material available s. website |
| Open-Access-Status: | Open Access |
| Hybrid | |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |