Research workspace

Capillaroscopy research software

Collect standardized nailfold capillaroscopy and nailfold videocapillaroscopy (NVC) images, quantitative findings, reports, and exports for studies, theses, registries, and multicenter collaboration.

  • Create shared workspaces and projects for research groups.
  • Standardize NVC image review, capillary density, giant capillaries, hemorrhages, tortuosities, morphology, comments, and reports.
  • Export structured datasets, archives, and DICOM ZIP files when analysis begins.
Contact for research workspace See research projects

For universities, hospitals, residents, theses, registries, and multicenter projects.

Capillary.io research dashboard with organized nailfold capillaroscopy projects and study data
Multicenter-ready Structured exports Activity tracking Permissions Published AI work

Research needs structure from day one

If data is not standardized during collection, publication work becomes cleanup work.

Standardized variables

Keep images, automated measurements, capillary density, giant capillaries, hemorrhages, tortuosities, morphology, report fields, and comments in a predictable structure.

Multicenter collaboration

Invite reviewers, share protocols, and keep project activity visible instead of exchanging folders.

Exportable datasets

Prepare quantitative NVC data for statistics, publications, theses, and archives with less manual cleaning.

Permissions

Control who can view, annotate, validate, or manage project data.

Traceability

Keep links between images, annotations, reports, and dataset exports.

Clinical bridge

Use the same platform for clinical work and research reuse where appropriate.

Capillary.io project export screen for structured capillaroscopy datasets

Data export

Do not wait until publication time to standardize

Capillary.io gives research teams a shared place to collect and review capillaroscopy and NVC data while maintaining exports for downstream analysis.

  • Project and folder exports
  • DICOM ZIP exports
  • Automated measurements and quantitative variables
  • Structured reports
  • Shared reviewer process

Structured example data

Review complete studies before exporting data

The embedded viewer shows why standardized capture matters: images, quality labels, automated measurements, comments, and pattern context stay linked before export.

  • Inspect complete studies rather than isolated images.
  • Review quantitative findings in the same visual context.
  • Use standardized studies as a clearer starting point for datasets.
Normal reference study

From study images to usable data

Use Capillary.io as the shared workspace behind your project.

1

Design

Define the project, participating centers, review team, and study variables.

2

Collect

Upload and organize images in shared projects.

3

Review

Validate findings, comments, and measurements.

4

Export

Prepare archives and datasets for analysis.

Related clinical and research uses

Research projects See scientific initiatives using Capillary.io. Open research →
Capillaroscopy software Review the general product process. See product →
Systemic sclerosis Clinical follow-up with structured reports. See use case →
Raynaud follow-up Organize NVC studies for Raynaud patients. See Raynaud →

Plan a capillaroscopy research workspace

Tell us about your project, centers, expected volume, and export needs. We will help shape the workspace.

Contact for research workspace