DAB Stained Tissue Analysis
Quantify DAB staining intensity in IHC samples
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
Positive area percent
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
Mean optical density
Findings placed in sample coordinates to reveal spatial patterns and local density.
In your report: Coordinate-referenced map, regional density, and representative images.
count or µm
H-score
Visible surface features detected, measured, and located against the reviewed image.
In your report: Per-feature list with size, position, and annotated overlays.
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 IHC tissue images
- 2
Separate
Color deconvolution isolates DAB channel
- 3
Quantify
Measure intensity, area, and H-score
- 4
Export
Download scoring data and intensity maps
Built to handle your images
What the analysis does with the awkward cases — the reasons the numbers above hold up on real microscopy.
Automated H-Score
Calculate H-score automatically from staining intensity distribution — eliminates subjective manual scoring
Optical Density Measurement
Quantify true chromogen optical density rather than simple pixel brightness for accurate comparisons
Region of Interest Tools
Define and analyze specific tissue regions with freehand, rectangle, or AI-assisted selection
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.
DAB Stained Tissue Analysis with ConductVision Image
Measure DAB (3,3’-diaminobenzidine) staining intensity and distribution in immunohistochemistry sections. ConductVision separates DAB from hematoxylin counterstain, quantifying positive area, optical density, and H-score automatically across whole-slide regions of interest.
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.
