Erik Hallström

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

Ingår i PLOS ONE, 2025

• DOI för 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
• Ladda ner fulltext (pdf) av 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.

Ingår i npj Digital Medicine, 2025

• DOI för Culture-free detection of bacteria from blood for rapid sepsis diagnosis
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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.

Ingår i PLOS Digital Health, 2025

• DOI för CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions
• Ladda ner fulltext (pdf) av CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions

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

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

Ingår i PloS Computational Biology, 2023

• DOI för Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy
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Learning to see colours: Biologically relevant virtual staining for adipocyte cell images

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

Ingår i PLOS ONE, 2021

• DOI för Learning to see colours: Biologically relevant virtual staining for adipocyte cell images
• Ladda ner fulltext (pdf) av Learning to see colours: Biologically relevant virtual staining for adipocyte cell images

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

Ingår i PLOS ONE, 2025

• DOI för 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
• Ladda ner fulltext (pdf) av 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.

Ingår i npj Digital Medicine, 2025

• DOI för Culture-free detection of bacteria from blood for rapid sepsis diagnosis
• Ladda ner fulltext (pdf) av Culture-free detection of bacteria from blood for rapid sepsis diagnosis

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.

Ingår i PLOS Digital Health, 2025

• DOI för CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions
• Ladda ner fulltext (pdf) av CombiANT reader: Deep learning-based automatic image processing tool to robustly quantify antibiotic interactions

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

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

Ingår i PloS Computational Biology, 2023

• DOI för Label-free deep learning-based species classification of bacteria imaged by phase-contrast microscopy
• Ladda ner fulltext (pdf) av 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.

Ingår i PLOS ONE, 2021

• DOI för Learning to see colours: Biologically relevant virtual staining for adipocyte cell images
• Ladda ner fulltext (pdf) av Learning to see colours: Biologically relevant virtual staining for adipocyte cell images