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.