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cytoviewer

Bioc current

An interactive multi-channel image viewer for R

v1.12.0 · software · GPL-3

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

This R package supports interactive visualization of multi-channel images and segmentation masks generated by imaging mass cytometry and other highly multiplexed imaging techniques using shiny. The cytoviewer interface is divided into image-level (Composite and Channels) and cell-level visualization (Masks). It allows users to overlay individual images with segmentation masks, integrates well with SingleCellExperiment and SpatialExperiment objects for metadata visualization and supports image downloads.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

42 1 exported

Complexity

4.3 avg / 52 max

Call network

42 nodes / 64 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

3,314

Files

29

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,786 (53.9%)Tests 774 (23.4%)Docs 133 (4%)Vignettes 621 (18.7%)

API

Exported functions

1

Internal functions

41

Testing & CI

Has tests

Yes

Test-to-code ratio

0.43

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

7

First release

2023-09-12

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.17: 3,033 LOCv3.18: 3,220 LOCv3.19: 3,304 LOCv3.20: 3,314 LOCv3.21: 3,314 LOCv3.22: 3,314 LOCv3.23: 3,314 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 544 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

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