Cell Morphology & Phenotypic Profiling

Measures the size, shape, and fluorescence intensity of individual cells across multiple markers.

Cell Morphology & Phenotypic Profiling illustration
Input channels
  • Ch1: DAPI (nuclear stain)
  • Ch2-4: cell body stain, cytoskeletal marker, or protein-of-interest channels (IF or fluorescent tags)
Output metrics
  • Area
  • Circularity
  • Elongation
  • Perimeter per cell
  • Mean/median/min/max intensity per channel

Everything you need for cell morphology & phenotypic profiling

Automated, reproducible, and code-free analysis in the cloud

Cloud-based

No software to install, no GPU required. Run analysis from any browser on any device.

Fully automated

Upload your images and get publication-ready results. No coding or scripting needed.

Reproducible

Every analysis is logged and reproducible. Share protocols with collaborators instantly.

How it runs

Cytely automates the image analysis so you can focus on the science.

01

Segment nuclei from DAPI

02

Optionally expand to approximate cell boundary or use a second channel for cell body segmentation

03

Measure morphological and intensity features per cell across all channels

04

Explore and gate interactively using 2D scatter plots.

Compatibility

Supported

Nuclear-only morphology, whole-cell morphology (with cell body stain), multi-channel intensity profiling (up to 4 channels), brightfield cell segmentation, interactive population gating for cell type classification.

Not yet supported

Texture features (Haralick), machine-learning-based phenotype classifiers, cell shape embeddings.

1 Dependent on sample quality

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Alex EvilevitchProfessor, Lund University

The insight we gained from Cytely was a completely transformative experience. It allowed us to redesign our experiment and finally move the project forward.

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Cytely dramatically improved our timelines while enhancing data reliability through automated, unbiased analysis and significantly larger sample sizes.

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With Cytely, we instantly analyzed thousands of cells to precisely identify which were transfected, infected, or both. What had been a three-year roadblock was resolved in our first session.

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