Life Science

Cell Count (Fluorescence)

Precise cell counting using fluorescent markers

Automated fluorescence-based cell counting that identifies and quantifies individual cells using DAPI, GFP, and other common fluorescent markers. ConductVision’s AI segmentation handles overlapping nuclei and varying intensity levels without manual thresholding, delivering reproducible counts across entire plate experiments.

Cell Count (Fluorescence)
98.2%
Detection Accuracy
5,000+
Images per Batch
<2min
Per Image
Workflow

How It Works

1

Upload

Load fluorescence microscopy images

2

Detect

AI identifies fluorescent cells automatically

3

Review

Verify overlay on original image

4

Export

Download counts, annotated images, methods

Features

What You Get

AI-Powered Detection

Neural network trained on diverse fluorescent markers handles overlapping cells, dim signals, and debris without manual tuning

Publication-Ready Outputs

Annotated images with detection overlays, summary statistics, and auto-generated methods paragraphs ready for manuscripts

Batch Processing at Scale

Process entire 96-well plate experiments in one run with consistent parameters locked across all images

Compatibility

Works With Your Existing Tools

Excel
GraphPad Prism
RR
Python
CSV

Ready to standardize your Cell Count (Fluorescence) workflow?

Upload your first image and get results in under 60 seconds.

Try ConductVision