National Supercomputer Centre at Linköping University

  1. NSC Express
  2. Current NAISS, SNIC and LiU Projects at NSC
  3. Berzelius-2024-420
Deep learning based species identification of bacteria using time-lapse of growth in microfluidic chip imaged by phase contrast microscopy
Title: Deep learning based species identification of bacteria using time-lapse of growth in microfluidic chip imaged by phase contrast microscopy
DNr: Berzelius-2024-420
Project Type: LiU Berzelius
Principal Investigator: Anders Hast <anders.hast@it.uu.se>
Affiliation: Uppsala universitet
Duration: 2024-10-23 – 2025-10-01
Classification: 10207
Homepage: https://strategiska.se/en/research/ongoing-research/ssf-agenda-2030-research-centers-arc-2019/project/10866/
Keywords:

Abstract

Train deep neural networks to rapidly detect bacterial species using time-lapse phase-contrast microscopy video data from a microfluidic device for a possible clinical application.