Platform

The Cytely Analysis Engine

A standardization layer that integrates before your existing image analysis pipeline — delivering reproducible quantitative outputs across instruments, sites, and time points.

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Cytely Analysis Engine pipeline diagram showing standardization workflow from raw microscopy image input through flatfield correction and normalization to standardized output

Architecture

Standardization pipeline

The Analysis Engine processes images in a sequential, auditable pipeline. Each stage can be configured and saved as a protocol for your specific instrument setup.

Cytely standardization pipeline: microscope input, Cytely processing engine, analysis-ready output — three-stage workflow diagram

Modules

Three modules. One pipeline.

Cytely's modular architecture lets you apply exactly the correction steps relevant to your workflow.

Image Standardization

Flatfield correction, background subtraction, illumination normalization. Removes spatial and intensity bias at the acquisition level before any downstream quantification.

Module details

Quantification

Cell and object segmentation, feature extraction, biomarker intensity quantification. Outputs structured per-object data tables compatible with CellProfiler, MATLAB, and Python.

Module details

Batch Analysis

High-throughput plate-reader and HCS-compatible batch processing. Handles 96-well, 384-well, and custom plate formats with per-well quality control reporting.

Module details

Technical Specifications

System requirements and compatibility

Category Specification Notes
Operating system Windows 10/11 (64-bit), macOS 12+, Ubuntu 20.04+ Linux requires glibc 2.31+
RAM (recommended) 16 GB minimum; 32 GB for batch HCS workflows Large z-stack sets benefit from 64 GB+
File formats (input) TIFF, CZI, LIF, ND2, IMS, VSI, OIB, OME-TIFF Via Bio-Formats reader integration
Output formats OME-TIFF, TIFF, CSV, HDF5 Per-image, per-well, per-plate summaries
API interface Python SDK (pip), MATLAB toolbox, REST API (Lab license+) Python 3.9+; MATLAB R2022a+
Plugin interfaces FIJI/ImageJ plugin, CellProfiler module Available in Lab and Commercial tiers
License delivery License key via email; node-locked or floating (Commercial) Annual renewal; offline activation available
Validation documentation IQ/OQ/PQ support package (Commercial tier) GxP-ready audit trail available as add-on

Reproducibility

Before and after standardization

Intensity coefficient of variation (CV%) across three confocal systems measuring the same DAPI-stained slide, with and without Cytely standardization. Residual CV after correction reflects biological heterogeneity within the sample, not instrument variability.

Inter-instrument intensity CV% — DAPI channel

Without Cytely

System A
38.2%
System B
34.1%
System C
41.7%

With Cytely

System A
6.3%
System B
5.7%
System C
7.1%

Representative data from internal validation studies. Results vary by sample type and imaging conditions.

Discuss your imaging setup

Our application scientists can advise on the appropriate correction strategy for your instrument configuration — confocal, widefield, HCS platform, or mixed fleet.