Deep learning based species classification of bacteria using time-lapse of growth in microfluidic chip imaged by phase contrast microscopy
Title: Deep learning based species classification of bacteria using time-lapse of growth in microfluidic chip imaged by phase contrast microscopy
SNIC Project: Berzelius-2022-180
Project Type: LiU Berzelius
Principal Investigator: Erik Hallström <erik.hallstrom@it.uu.se>
Affiliation: Uppsala universitet
Duration: 2022-09-05 – 2023-04-01
Classification: 10207
Homepage: https://strategiska.se/en/research/ongoing-research/ssf-agenda-2030-research-centers-arc-2019/project/10866/
Keywords:

Abstract

Apply various deep learning methods to perform video classification, segmentation, object tracking, and detection of time-lapses of bacteria growing in microfluidic chip imaged by phase contrast microscopy.