<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>rotsl.r-universe.dev</title><link>https://rotsl.r-universe.dev</link><description>Recent package updates in rotsl</description><generator>R-universe</generator><image><url>https://github.com/rotsl.png</url><title>R packages by rotsl</title><link>https://rotsl.r-universe.dev</link></image><lastBuildDate>Mon, 08 Jun 2026 23:55:34 GMT</lastBuildDate><item><title>[biocstaging] grayleafspotr 0.99.2</title><author>phonics-tiffs1i@icloud.com (Rohan R)</author><description>Quantitative phenotyping of gray leaf spot (Cercospora
zeae-maydis) fungal colonies grown on petri dishes. The package
segments colonies from time-lapse plate photographs using a
bundled SmallUNet deep-learning model, extracts morphometric
and texture features (area, eccentricity, crack coverage,
radial profile), and provides tidy result objects together with
template ggplot2 visualisations. Python dependencies are
managed automatically through basilisk; no manual environment
setup is required.</description><link>https://github.com/r-universe/biocstaging/actions/runs/27174828548</link><pubDate>Mon, 08 Jun 2026 23:55:34 GMT</pubDate><r:package>grayleafspotr</r:package><r:version>0.99.2</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/grayleafspotr</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting Started with grayleafspotr</r:title><r:created>2026-04-28 07:03:02</r:created><r:modified>2026-05-27 07:29:53</r:modified></r:article><r:article><r:source>grayleafspotr-workflow.Rmd</r:source><r:filename>grayleafspotr-workflow.html</r:filename><r:title>grayleafspotr Workflow</r:title><r:created>2026-04-28 07:03:02</r:created><r:modified>2026-05-27 07:29:53</r:modified></r:article></item><item><title>[rotsl] grayleafspotr 0.99.2</title><author>phonics-tiffs1i@icloud.com (Rohan R)</author><description>Quantitative phenotyping of gray leaf spot (Cercospora
zeae-maydis) fungal colonies grown on petri dishes. The package
segments colonies from time-lapse plate photographs using a
bundled SmallUNet deep-learning model, extracts morphometric
and texture features (area, eccentricity, crack coverage,
radial profile), and provides tidy result objects together with
template ggplot2 visualisations. Python dependencies are
managed automatically through basilisk; no manual environment
setup is required.</description><link>https://github.com/r-universe/rotsl/actions/runs/27174839051</link><pubDate>Mon, 08 Jun 2026 23:55:24 GMT</pubDate><r:package>grayleafspotr</r:package><r:version>0.99.2</r:version><r:status>success</r:status><r:repository>https://rotsl.r-universe.dev</r:repository><r:upstream>https://github.com/rotsl/grayleafspotr</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting Started with grayleafspotr</r:title><r:created>2026-04-28 07:03:02</r:created><r:modified>2026-05-27 07:29:53</r:modified></r:article><r:article><r:source>grayleafspotr-workflow.Rmd</r:source><r:filename>grayleafspotr-workflow.html</r:filename><r:title>grayleafspotr Workflow</r:title><r:created>2026-04-28 07:03:02</r:created><r:modified>2026-05-27 07:29:53</r:modified></r:article></item></channel></rss>