Droplet microfluidics with image texture quantification for detection of rare antibiotic-resistant subpopulations from the bloodstream infections dataset
type: Dataset
description: This dataset contains experimental image data associated with the study “Droplet microfluidics with image texture quantification for detection of rare antibiotic-resistant subpopulations from bloodstream infections.” The data were generated at Uppsala University to support reproducibility, validation, and reuse of the experimental workflows and image analysis methods described in the associated publication. The dataset consists of time-lapse TIFF image sequences acquired from droplet microfluidic experiments designed to detect rare antibiotic-resistant and heteroresistant bacterial subpopulations at single-cell resolution. Experiments were performed using both Gram-positive and Gram-negative bacterial species under antibiotic exposure conditions. Quantitative image texture analysis was applied to monitor bacterial growth dynamics within droplets over time. The repository is organized into folders corresponding to the figures presented in the manuscript. Each folder contains the time-lapse TIFF images used to generate the associated figure. These image datasets can be used directly as input to the image processing and texture Associated Publication: “Droplet microfluidics with image texture quantification for detection of rare antibiotic-resistant subpopulations from bloodstream infections,” published in npj Digital Medicine. This work was supported by the Swedish Research Council (grant 2024-06176 to MT and grant 2021-02091 to DIA), Sweden’s Innovation Agency Vinnova (grant 2024-00460 to MT), and the European Research Council (ERC) under the European Union’s Horizon Europe research and innovation programme (PHOENIX grant agreement No. 101043985 to MT). The authors acknowledge Myfab Uppsala for facilities and experimental support. Myfab is funded by the Swedish Research Council (2019-00207) as a national research infrastructure.
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Sagar Agnihotri
creator: Nikos Fatsis-Kavalopoulos
  type: Person
  family name: Fatsis-Kavalopoulos
  given name: Nikos
creator: Emma Vikdahl
  type: Person
  family name: Vikdahl
  given name: Emma
creator: Jonas Windhager
  type: Person
  family name: Windhager
  given name: Jonas
creator: Agustin Corbat
creator: Dan Andersson
creator: Maria Tenje
date modified: 2026-05-28
date published: 2026-05-28
funding: Rapid diagnostics of heteroresistance
  type: Grant
  funder: Swedish Research Council
funding: Heteroresistance: mechanisms, clinical relevance and diagnostics
  type: Grant
  funder: Swedish Research Council
funding: Exploiting synthetic biology and microfluidics to determine the mutagenic potential of antibiotics
  type: Grant
  funder: VINNOVA
funding: Paving the way for High-throughput Organoid ENgineering using Integrated acoustiX
  type: Grant
  funder: European Research Council
funding: Myfab period 5
  type: Grant
  funder: Swedish Research Council
keywords: Medical and Health Sciences
  type: DefinedTerm
  term code: 3
keywords: Micro- and nanosystems
keywords: Medical biotechnology diagnostics (incl. biosensors)
license: https://creativecommons.org/licenses/by/4.0/
publisher: Uppsala University
version: 0

PropertyValue
property ID: DOI
value: 10.17044/SCILIFELAB.31452181

Sagar Agnihotri
type: Person
family name: Agnihotri
given name: Sagar

Agustin Corbat
type: Person
family name: Corbat
given name: Agustin

Dan Andersson
type: Person
family name: Andersson
given name: Dan

Maria Tenje
type: Person
affiliation: Science for Life Laboratory
family name: Tenje
given name: Maria

Science for Life Laboratory
type: Organization

Swedish Research Council
type: Organization

VINNOVA
type: Organization

European Research Council
type: Organization

Uppsala University
type: Organization