Harmful Algal Bloom Research
Automated microscope-image workflow for colony morphology analysis
A custom-trained Ultralytics YOLO model detects Microcystis aeruginosa colonies across 16 experimental groups, extracts colony count, area, equivalent diameter, circularity and density, and tracks morphology change over time via machine learning — with every measurement exportable to CSV/Excel and every detection saved as an annotated image for review.
All data on this page is mock data for demonstration purposes only.
Images Processed
96
microscope fields analyzed
Colonies Detected
1,138
avg confidence 85.5%
Experimental Groups
16
compared via ML morphology analysis
Flagged Groups
2
significant morphology shift detected
Image Ingest
Microscope image batches pulled from lab share
YOLO Detection
YOLOv8n-microcystis-v3.2 inference over all colonies
Measurement Extraction
Area, diameter, circularity, density per colony
CSV / Excel Export
One row per image, tracked by experimental group
Annotated Review
Boxed detections saved for manual QA
Model: YOLOv8n-microcystis-v3.2 · custom-trained Ultralytics YOLO checkpoint · mock pipeline output
G16_W10_IMG096.tif
G16 · Week 10
G16_W08_IMG095.tif
G16 · Week 8
G16_W06_IMG094.tif
G16 · Week 6
G16_W04_IMG093.tif
G16 · Week 4
G16_W02_IMG092.tif
G16 · Week 2
G16_W00_IMG091.tif
G16 · Week 0