EVE Explorer
High-content live cell analysis, simpler than ever
EVE Explorer quantifies cellular and organelle responses from label-free live cell images, with an intuitive automated workflow, customizable plotting options, and seamless data management, enabling researchers to make data-driven decisions and focus on discovery.
Intuitive application-specific analyses
Streamlined workflow management
Advanced
data representation
Customizable data classification
Efficient data organization and retrieval
AI-powered label-free cell segmentation
Label-free cell segmentation across different cell lines. Nanolive’s refractive index holotomographic images of human cervical cancer cells (HeLa), human induced pluripotent stem cells (iPSCs), human hepatocellular carcinoma cell line (HepG2) cells and preadipocytes (top), with digital cell segmentation overlays (bottom) following analysis performed with EVE Analytics.
EVE Explorer offers various AI-powered, application-specific digital assays that automatically segment cells and quantify morphological, and population features from Nanolive’s label-free holotomographic images. Trained across diverse cell lines, it eliminates manual processing, ensuring robust, reproducible, and high-throughput analysis for drug discovery, toxicity assessment, and cell therapy research, delivering reliable insights with zero user input.
Application-specific digital assay modules: Gather data on each cell in every frame, label-free!
Get higher significance earlier and faster with our panel of application-specific, push-button digital assays. Retroactive analysis is possible at any time.
EVE Analytics provides general metrics such as the growth rate, confluency, and compactness of cells over time enabling researchers to monitor drug-induced effects on cell cultures with high precision.
The LIVE Cytotoxicity Assay monitors cell health and distinguishes between living, apoptotic, and necrotic cells, facilitating drug screening and toxicity assessment.
The LIVE T Cell Assay monitors effector and target cell interactions and killing in co-culture, providing quantitative insights for immuno-oncology and cell therapy development.
The Smart Mitochondrial AssayLIVE measures mitochondrial morphology, content, population and distribution, helping researchers assess mitochondrial function, metabolic activity, and drug-induced toxicity.
The Smart Lipid Droplet AssayLIVE measures lipid droplet morphology, content, population and distribution, supporting metabolic research, obesity studies, and drug screening for lipid-related disorders.
Correlate molecular and structural changes for deeper analysis
In parallel with Nanolive’s standard label-free imaging, optional fluorescence imaging, visualization, and quantification allows users to extract an additional layer of insights from every single well. Automated analysis of fluorescent signals in EVE Explorer Pro allows you to:
- Visualize specific molecular targets
- Perform correlative imaging with refractive index images
- Define additional subpopulations within a single well by fluorescence signal
- Quantify change in cellular fluorescence signal over time e.g. gene expression
NanoPlot – Unleash the full potential of Nanolive high-content imaging data
NanoPlot, EVE Explorer’s customizable plotting tool, transforms data from Nanolive’s digital assays into powerful visual insights enabling researchers to accelerate discovery and decision-making.
- Flexible data visualization: Plot metrics over time using scatter plots, boxplots, histograms, or plot metrics from different assays against each other for deeper insights into drug responses.
- Enhanced customization: Adjust axis scaling, apply interpolation, and choose aggregation methods to fine-tune your analysis, ensuring precision in quantitative assessments.
With EVE Explorer Pro:
- Subpopulation Analysis: Define subpopulations within a single well using fluorescence signals enabling advanced co-culture studies.
- Fluorescence time-course analysis: Quantify changes in fluorescence over time to assess drug delivery efficacy, metabolic shifts, or gene expression regulation.
- Advanced analytics: Utilize advanced analysis methods, such as 3D plots, EC50 determination and UMAP for dimensionality reduction, providing high-impact insights into dose-response relationships and complex cellular phenotypes.
Features overview
Choose the version of EVE Explorer that best matches your research goals:

Andrew Martins, Ph.D.
Assistant Professor, Immunobiology
Director of Technology, Center for Systems and Engineering Immunology
Yale School of Medicine
“With further improved object segmentation capability, integrated analysis features that reduce our need to use external software, and new project management capabilities, EVE Explorer is allowing us to more quickly gain insight into our live cell experiments.”
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