Erik Hallström

Deep learning-based image processing methods to guide treatment of bacterial infections and combat antibiotic resistance

Hallström, Erik

2026

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CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions

Hallström, Erik; Fatsis-Kavalopoulos, Nikos; Bimpis, Manos; Wählby, Carolina et al.

Part of PLOS Digital Health, 2025

• DOI for CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions
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Rapid label-free identification of seven bacterial species using microfluidics, single-cell time-lapse phase-contrast microscopy, and deep learning-based image and video classification

Hallström, Erik; Kandavalli, Vinodh; Wählby, Carolina; Hast, Anders

Part of PLOS ONE, 2025

• DOI for Rapid label-free identification of seven bacterial species using microfluidics, single-cell time-lapse phase-contrast microscopy, and deep learning-based image and video classification
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Culture-free detection of bacteria from blood for rapid sepsis diagnosis

Miguelez, M. Henar Marino; Osaid, Mohammad; Hallström, Erik; Kaya, Kerem et al.

Part of npj Digital Medicine, 2025

• DOI for Culture-free detection of bacteria from blood for rapid sepsis diagnosis
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Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy

Hallström, Erik; Kandavalli, Vinodh; Ranefall, Petter; Elf, Johan et al.

Part of PloS Computational Biology, 2023

• DOI for Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy
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CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions

Hallström, Erik; Fatsis-Kavalopoulos, Nikos; Bimpis, Manos; Wählby, Carolina et al.

Part of PLOS Digital Health, 2025

• DOI for CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions
• Download full text (pdf) of CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions

Rapid label-free identification of seven bacterial species using microfluidics, single-cell time-lapse phase-contrast microscopy, and deep learning-based image and video classification

Hallström, Erik; Kandavalli, Vinodh; Wählby, Carolina; Hast, Anders

Part of PLOS ONE, 2025

• DOI for Rapid label-free identification of seven bacterial species using microfluidics, single-cell time-lapse phase-contrast microscopy, and deep learning-based image and video classification
• Download full text (pdf) of Rapid label-free identification of seven bacterial species using microfluidics, single-cell time-lapse phase-contrast microscopy, and deep learning-based image and video classification

Culture-free detection of bacteria from blood for rapid sepsis diagnosis

Miguelez, M. Henar Marino; Osaid, Mohammad; Hallström, Erik; Kaya, Kerem et al.

Part of npj Digital Medicine, 2025

• DOI for Culture-free detection of bacteria from blood for rapid sepsis diagnosis
• Download full text (pdf) of Culture-free detection of bacteria from blood for rapid sepsis diagnosis

Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy

Hallström, Erik; Kandavalli, Vinodh; Ranefall, Petter; Elf, Johan et al.

Part of PloS Computational Biology, 2023

• DOI for Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy
• Download full text (pdf) of Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy

Learning to see colours: Biologically relevant virtual staining for adipocyte cell images

Wieslander, Håkan; Gupta, Ankit; Bergman, Ebba; Hallström, Erik et al.

Part of PLOS ONE, 2021

• DOI for Learning to see colours: Biologically relevant virtual staining for adipocyte cell images
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Deep learning-based image processing methods to guide treatment of bacterial infections and combat antibiotic resistance

Hallström, Erik

2026

• Download full text (pdf) of Deep learning-based image processing methods to guide treatment of bacterial infections and combat antibiotic resistance

Label-free identification of bacterial species using adapted vision transformers

Hallström, Erik; Kandavalli, Vinodh; Marino Miguélez, Maria Henar; Elf, Johan et al.

• DOI for Label-free identification of bacterial species using adapted vision transformers

Detection, antibiotic susceptibility testing, and species identification of bacteria from blood in less than 7 h for prompt sepsis diagnosis

Marino Miguélez, Maria Henar; Hallström, Erik; Johansson, Lisa; Kandavalli, Vinodh et al.