Cell counting & confluence
Counts, density, and confluence from brightfield and phase contrast.
Example outputs shown for illustration. Numbers depend on your samples and protocol.
The measurement, today
Manual cell counts on a hemocytometer are slow and noisy, and confluence is usually estimated by eye.
From image to reviewed result
- 1
Calibrate the scale
Set spatial scale from a bar or known dimension. Every downstream number inherits real units.
- 2
Detect & segment
Segmentation models find the objects and regions of interest: grains, particles, pores, fibers, cells.
- 3
Measure
Quantify size, count, area fraction, density, and orientation. The metrics your method already defines.
- 4
Review the overlay
Inspect the result on every field. Adjust thresholds by hand; the change is logged with the output.
- 5
Export & compare
Publication-ready statistics, plus batch comparison across lots, conditions, and time points.
What you export
Send a sample image and a measurement goal
We will show the closest ConductVision workflow and flag what needs custom validation for your images.
