Droplet microfluidics with image texture quantification for detection of rare antibiotic-resistant subpopulations from bloodstream infections.
Saved in:
| Title: | Droplet microfluidics with image texture quantification for detection of rare antibiotic-resistant subpopulations from bloodstream infections. |
|---|---|
| Authors: | Agnihotri SN; Department of Materials Science and Engineering, Uppsala University, Uppsala, Sweden.; Science for Life Laboratory, Uppsala University, Uppsala, Sweden.; Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden., Fatsis-Kavalopoulos N; Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden., Vikdahl E; Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden., Windhager J; Department of Information Technology and SciLifeLab BioImage Informatics Unit, Uppsala University, Uppsala, Sweden., Corbat AA; Instituto de Física de Buenos Aires, Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina., Andersson DI; Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden. dan.andersson@imbim.uu.se., Tenje M; Department of Materials Science and Engineering, Uppsala University, Uppsala, Sweden. maria.tenje@angstrom.uu.se.; Science for Life Laboratory, Uppsala University, Uppsala, Sweden. maria.tenje@angstrom.uu.se. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2026 May 30; Vol. 9 (1). Date of Electronic Publication: 2026 May 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
