Parasite Infection
Quantifies parasite infection of host cells by measuring the fraction of infected cells and the parasite burden per cell.
- Ch1: DAPI (host and parasite nuclei)
- Ch2: host cell marker (e.g., cell body stain or cytoplasmic IF)
- Ch3: parasite-specific marker (e.g., anti-parasite IF, GFP-expressing parasite, or pathogen-specific stain)
- % infected cells per condition
- Parasite count per host cell
- Total parasite area per host cell
- Mean parasite intensity per cell
- Host cell count
Everything you need for parasite infection
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.
Segment host cells from cell marker channel
Detect parasites as puncta or objects in parasite channel
Assign parasites to host cells by spatial containment
Count and measure parasite burden per host cell
Classify infected vs uninfected by parasite count threshold.
Compatibility
Ready to run
Intracellular protozoan infection (e.g., Toxoplasma, Leishmania, Plasmodium, Trypanosoma), fluorescently labeled or GFP-expressing parasites, anti-parasite IF staining, drug screening for anti-parasitic compounds, host-pathogen co-staining panels.
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Live-cell infection kinetics, parasite life-cycle stage classification, extracellular parasite motility tracking.
1 Dependent on sample quality
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The data-driven approach that Cytely offers is a dream to an experienced microscopist like me.
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It's just amazing what can be done today! Cytely does all the work for me!
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The insight we gained from Cytely was a completely transformative experience. It allowed us to redesign our experiment and finally move the project forward.
Cytely dramatically improved our timelines while enhancing data reliability through automated, unbiased analysis and significantly larger sample sizes.
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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