Spatial Biology

Research software with a visible method

Spatial biology tools that keep the scientist in control.

Explore molecular data without handing the raw study to another server. See what the software calculates, keep the source labels intact, and make the final analytical decisions yourself.

Illustrative signal rail12 lanes
01
02
03
04
05
06
07
08
09
10
11
12

Synthetic values. No study data.

The working principle

The useful boundary is simple.

Online

Account access, documentation and the empty analysis workspace.

On your computer

RCC files, project names, sample labels, counts, QC results and exports.

First release

RCC Explorer

A focused workspace for nCounter RCC data analysis. Load individual RCC files or cartridge ZIPs, inspect run quality, compare normalization approaches and export traceable outputs.

Source data
Remains in the browser
Raw counts
Never overwritten
QC
Advisory, not automatic exclusion
Decisions
Remain with the researcher
See the RCC Explorer workflow