Cellenion and SCIENION are now ONE. Transforming precision into progress. Scaling research into real-world impact.

Your single-cell data is only as good as the cell you start with.

Single-cell omics drive innovation in research, diagnostics and therapy from tracking disease progression to uncovering new biomarkers. By isolating and profiling individual cells, these methods reveal critical patterns in gene expression, genetic mutations, and epigenetic regulation that are often obscured in bulk analyses.

SINGLE CELL OMICS APPLICATIONS
Omics

SINGLE CELL GENOMICS

Discover genetic variation at the cellular level. High-precision isolation and miniaturized workflows ensure accuracy, scalability, and robust data quality. With cellenONE, researchers can confidently capture rare variants, trace clonal evolution, and reveal hidden genetic heterogeneity critical for cancer biology, developmental studies, and personalized medicine. 

scRNAseq

SINGLE CELL TRANSCRIPTOMICS

Reveal dynamic gene expression profiles across thousands of cells with reproducibility and minimal bias. Image-guided isolation and gentle dispensing maximize RNA integrity, while precise volume control supports high-throughput, cost-effective single cell RNA-seq. Understand developmental trajectories, immune landscapes, and disease mechanisms at unprecedented depth and clarity. 

scProteo

SINGLE CELL PROTEOMICS

Directly quantify proteins from individual cells with maximum proteome depth and resolution (Label-Free Single-Cell Proteomics). Profile proteins across large numbers of individual cells with high throughput and sensitivity via isobaric labeling (Multiplexed Single-Cell Proteomics).Map protein expression within intact tissues to reveal cellular function in its native spatial context (Spatial Proteomics)

ProteinRNADNA

SINGLE CELL MULTI-OMICS

Profile multiple molecular layers from the same cell, integrating genomics, transcriptomics, epigenomics, or proteomics. cellenONE enables highly flexible, customizable workflows for simultaneous measurements, reducing sample loss and cost while unlocking a holistic view of cellular states and mechanisms.

The challenge: Selecting the right cell from the start.

Data and reagents can be wasted due to doublets or empty wells, while the limited amount of starting material makes samples difficult to detect and highly susceptible to contamination. In addition, not every cell provides valuable information, making indiscriminate sequencing inefficient and costly.
The solution: Precision single-cell isolation using the cellenONE® X1 Neo:
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Combining ultra-precise image-based single‑cell isolation with gentle droplet dispensing, the cellenONE single cell dispensers deliver 100% accuracy and compatibility with cells sized 0.5–80 µm.

Typical Single cell omics workflow

RESOURCES