Hematoxylin-Stained Nuclei
Detect nuclei in H&E histology sections
Example outputs shown for illustration. Numbers depend on your samples and protocol.
Results
Each measurement below comes from your own images, tied back to the annotated frame it came from, so results stay comparable across samples, locations, and conditions.
µm or count
Nuclear count
Size and shape measured for every detected object, then summarized across the population.
In your report: Per-object table, size distribution, and summary percentiles.
per area
Nuclear density
Findings placed in sample coordinates to reveal spatial patterns and local density.
In your report: Coordinate-referenced map, regional density, and representative images.
µm or count
Positive fraction
Size and shape measured for every detected object, then summarized across the population.
In your report: Per-object table, size distribution, and summary percentiles.
Built around your image set
Use the calibrated images your team already collects, together with the locations you need to compare.
Each report includes
The artifacts your team receives, ready for review and archive.
Annotated image set
Original images with regions of interest, measurement points, masks, and finding overlays.
Measurement table
Location-indexed values, units, distributions, and QC flags in a structured export.
Method record
Calibration evidence, analysis settings, version history, and validation summary.
Confidence in every resultTraceable measurements, reviewed against your agreed reference method.
- Traceable scale
- The report records the image scale, calibration evidence, and a method-specific expanded measurement uncertainty. It does not use one product-wide accuracy number.
- Reference comparison
- The configured method is compared with your accepted reference method or reviewed annotations, and reports bias by measurement range and image condition.
- Detection performance
- Detections are evaluated against reviewed reference regions with precision, recall, and segmentation overlap, separated by the conditions that affect performance.
- Repeatability
- The locked protocol is rerun on the same inputs and on a defined repeat set. The review records variation from image acquisition, sampling, and analysis separately where possible.
From image to reviewed result
- 1
Upload
Load H&E histology images
- 2
Deconvolve
Separate hematoxylin from eosin channels
- 3
Detect
AI identifies nuclei in tissue context
- 4
Export
Download nuclear counts, density maps, and annotations
Built to handle your images
What the analysis does with the awkward cases — the reasons the numbers above hold up on real microscopy.
Color Deconvolution
Automatically separates hematoxylin and eosin staining channels for precise nuclear isolation
Tissue Architecture Aware
AI trained on diverse tissue types — distinguishes real nuclei from staining artifacts and debris
Density Mapping
Generate spatial density heatmaps showing nuclear distribution patterns across tissue sections
Works with your existing tools
Related biology applications
Use these Life Science pages when the same image-analysis method needs to be evaluated in the context of an assay, marker panel, plate workflow, or biological endpoint.
Hematoxylin-Stained Nuclei with ConductVision Image
Identify and count hematoxylin-stained nuclei in H&E-stained tissue sections. ConductVision uses color deconvolution to isolate the hematoxylin channel and applies AI segmentation to distinguish nuclei from background staining artifacts in complex tissue architectures.
Not sure this is the right measurement?
Send a representative image and your measurement goal. A ConductVision scientist will confirm whether this is the right fit, or point you to the closer workflow, before you commit to a quote.
Send a sample image and a measurement goal
We will show the closest ConductVision workflow and flag what needs custom validation for your images.
