Datasets

Example Dataset

Lysosomal pH Activity in FaDu and HGFb Cells

A 4-channel confocal acquisition of FaDu and HGFb cells treated with autophagy modulators. Autophagosomes carry a tandem TagRFP/Emerald-GFP label (the GFP quenches below pH 6 while TagRFP stays stable) and lysosomes are marked with LysoTracker, giving a ratiometric readout of acidity. Cytely segments lysosomes and reports lysosome count per cell across drug-treatment groups including Bafilomycin and BEZ.

Multiplex Imaging Analysis

A 5-channel Cell Painting acquisition of human U2OS cells from a compound-profiling screen of ~1,600 bioactive compounds. Cytely segments nuclei, cytoplasm, nucleoli, concanavalin-A puncta, and mitochondria, then reports per-cell morphology and object counts across small-molecule treatment groups.

Multi-Marker Foci Association

A multi-channel acquisition for detecting multiple DNA-damage foci markers at the single-cell level. Cytely segments nuclei, detects foci across channels, and reports per-cell foci count, intensity, and area in cells exposed to a DNA-damaging agent.

Sub-Object Quantification Example

A 3-channel acquisition (DAPI, FITC, CY5). Cytely segments parent cells and detects smaller objects within them, reporting child count and total child area per parent alongside parent morphology.

Leishmania Infection of Macrophages

A 2-channel acquisition of bone-marrow-derived macrophages infected with Leishmania major. Cytely segments host cells and detects intracellular parasites as sub-objects, reporting the parasite count per host cell. Source: Juez et al., figshare 2023.

Nuclear Translocation Benchmark (BBBC014v1)

A 2-channel acquisition (DAPI nuclear counterstain + FITC NF-κB signal) from the BBBC014 benchmark: cytoplasm-to-nucleus translocation of the transcription factor NF-κB in MCF7 and A549 cells in response to TNF-α. Cytely segments nuclei and the surrounding cytoplasm and reports the per-cell nuclear/cytoplasmic NF-κB intensity ratio, which rises dose-dependently with TNF-α.

Lipid Droplet Accumulation

A 3-channel acquisition from a phospholipidosis drug-repurposing screen. Cytely segments cells and detects lipid droplets as sub-objects, reporting per-cell droplet count, mean droplet area, and total droplet area. Source: Kuzikov et al., Patterns 2026 (idr0171).

Spot Uptake in Cells

A 3-channel acquisition processed with a dual-sub-object pipeline: cell nuclei segmented as parent objects, spots/peaks detected as children and associated to their host cells. The primary readout is the number of detected children (spots) per cell. Source: Rees et al., Nature Communications 2019 (S-BSST249).

Cell Cycle Arrest in Breast Cancer Cells

A 4-channel acquisition (Hoechst, Phospho-Rb, p21, EdU) of breast cancer cells. Cytely segments nuclei from Hoechst and measures per-nucleus intensity across all four channels, producing a per-cell readout for the EdU-positive (S-phase) population. Source: Weston et al., Sci Data 2024 (S-BIAD1013).

THP-1 Phagocytosis Assay

THP-1 cells stained with wheat germ agglutinin (orange) and DAPI (blue) that have phagocytosed fluorescent beads (green) opsonized by antibody. This dataset showcases Cytely's phagocytosis assay capabilities for measuring particle uptake by immune cells.

Transfection Efficiency - Actin and Integrin Double Transfection

HeLa cells transfected with integrin (orange/TRITC) and actin (red/Cy5) plasmids, with additional DAPI (blue) nuclear stain and wheat germ agglutinin (green/FITC) membrane stain. This dataset demonstrates how to determine transfection efficiency for both single and double plasmid transfections. Shows relatively low transfection efficiency, highlighting the value of Cytely for method optimization.

Cell Cycle Analysis - Mitotic Cells in HeLa Cultures

Classification of cell cycle stages in HeLa cells using morphology-based analysis with only standard nuclear staining. This dataset demonstrates identification of cell cycle phases (G0/G1, S/G2, M) using nuclear morphology without specialized dyes. Successfully isolated 164 mitotic cells (3%) from ~5,500 total cells through sequential gating based on nuclear characteristics.

Blood Cell Analysis - Neutrophils

Analyzing cell populations in whole blood samples containing mixed populations of leukocytes, platelets, and red blood cells (RBCs). This dataset demonstrates rapid identification and quantification of different blood cell types at the single-cell level through scatter plots and intuitive gating. Successfully identifies neutrophils (57%), platelets (11%), and RBCs (12%) from a heterogeneous sample.