Platform · Quantification

Cell segmentation, feature extraction, and biomarker quantification

The Cytely quantification module provides reproducible per-object measurements from standardized fluorescence images — cell counts, intensity distributions, morphology features, and co-localization metrics.

Quantification Module

Capabilities

Quantification features

Cell and Object Segmentation

Nucleus and cytoplasm segmentation using watershed, Otsu thresholding, or intensity-based boundary detection. Supports primary object detection (nuclei), secondary object expansion (cytoplasm), and tertiary mask subtraction. Configuration parameters are saved per protocol.

Feature Extraction

Per-object measurements: mean, median, integrated intensity, area, eccentricity, solidity, Zernike moments, texture (Haralick), and user-defined region-of-interest measurements. Output includes per-channel intensity features for multi-marker panels.

Biomarker Quantification

Standardized intensity values enable direct biomarker comparison across experiments and instrument configurations. Cytely outputs per-cell biomarker intensity as normalized fluorescence units — directly usable in downstream statistical analysis without manual adjustment.

Output

Data table structure

Cytely outputs per-object data tables in standard formats compatible with CellProfiler, MATLAB, R, and Python.

ColumnTypeDescription
object_idintegerUnique per-object identifier within image
image_idstringSource image filename with acquisition metadata
well_idstringPlate well identifier (e.g. A03)
ch{n}_mean_intensityfloatMean standardized intensity per channel n
ch{n}_integrated_intensityfloatIntegrated (total) standardized intensity
area_pxintegerObject area in pixels
area_um2floatObject area in µm² (requires calibrated pixel size)
eccentricityfloatShape eccentricity (0=circle, 1=line)
cytely_protocol_versionstringProtocol identifier used for standardization

See quantification on your images

Book a demonstration using your own fluorescence image sets.