Local Quantification

Quantify nuclei, cells, and particles without sending a single pixel away

Local Quantification turns the slide you are already looking at into numbers. Segmentation and measurement run on your own computer, so unpublished and patient-derived images never leave the machine, and the result arrives in the same window as the image.

CZI · ND2 · SVS · DICOM · TIFFWindows · macOSSlideScope 1.8.5

Why quantify here

Your pixels stay on your machine

Segmentation and measurement run locally. Only model weights are downloaded, and SlideScope verifies their SHA-256 digest before loading them. Nothing about the image is uploaded, which is the difference that matters for unpublished data, patient-derived material, and institutional review.

Two engines, both explicit

Run verified InstanSeg deep-learning weights for nuclei and cells, or an explicit classical threshold with Otsu auto-selection, polarity detection, smoothing, and area bounds. You always know which engine produced a number, and the methods summary records it.

Built to be reproducible

Every run is described by a saved recipe: object type, engine, channel, thresholds, area limits, marker channels. Reload the recipe, rerun the folder, and get the same analysis. The exported methods summary is written to be pasted into a manuscript.

What comes out

  • Object counts, with a calibrated density per square millimetre wherever the pixel size is recorded
  • Area, perimeter, and shape descriptors for every object
  • Mean intensity in every channel, not only the one used for segmentation
  • Optional marker-positive classification against one or two marker channels
  • Size and intensity distributions across the whole object population
  • Editable overlays, so an object the segmentation got wrong can be excluded before export

Exports that fit real workflows

  • CSV object table for statistics in R, Python, Prism, or a spreadsheet
  • GeoJSON outlines that QuPath and ASAP import directly
  • Labelled mask TIFF with the recipe embedded in the file metadata
  • Annotated PNG for figures and slide decks
  • Summary JSON for programmatic downstream use
  • A written methods summary you can paste into a manuscript

Five minutes, start to numbers

  1. Choose the region

    Quantify the whole image or just the region you selected. Working on a region keeps a gigapixel slide fast and keeps the analysis on the tissue you actually care about.

  2. Pick objects and engine

    Nuclei, cells, or particles. InstanSeg for nuclei and cells, classical thresholding for anything else or when you need a fully explicit rule.

  3. Check the overlay

    Results land as an overlay on the image. Scroll the object table, click through outliers, and exclude anything the segmentation misread. Nothing is final until you say so.

  4. Export or batch the folder

    Export the bundle, or save the settings as a recipe and run the same analysis over an entire folder in one pass with a combined batch summary.

FAQ

Does my image data leave my computer?

No. Segmentation and measurement run in the SlideScope process on your own machine. The only network request is a one-time download of model weights, and SlideScope verifies the SHA-256 digest of both the archive and the model before it loads any code.

Which engine should I use?

Use InstanSeg for nuclei and cells in brightfield or fluorescence: it handles touching objects far better than a threshold. Use the classical engine for particles, for unusual stains, or whenever you need a rule you can state exactly in a methods section.

Can I trust the numbers for a publication?

Treat them as research output that needs your quality control. SlideScope shows the segmentation as an editable overlay precisely so you can check it, and it exports a methods summary describing exactly how each number was produced. Results are not validated for diagnosis or clinical decision-making.

Research use only. Results require visual quality control and are not validated for diagnosis or clinical decision-making.

Quantify your own slides this week

The 14-day trial is full access, including Local Quantification and folder batch runs. Try it on the images your laboratory is actually working on.

Start trial