SUPR
Deep learning based species classification of bacteria using time-lapse of growth in microfluidic chip imaged by phase contrast microscopy
Dnr:

NAISS 2024/22-1385

Type:

NAISS Small Compute

Principal Investigator:

Erik Hallström

Affiliation:

Uppsala universitet

Start Date:

2024-10-22

End Date:

2025-10-01

Primary Classification:

10207: Computer Vision and Robotics (Autonomous Systems)

Allocation

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.