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lihanyi

PROFILE

Lihanyi

Lihanyi contributed to the STOmics/cellbin2 repository by developing and refining features for image preprocessing, data handling, and environment setup over a three-month period. Using Python and YAML, Lihanyi enhanced the cell segmentation pipeline with configurable image enhancement parameters and multi-application CLAHE support, improving segmentation accuracy and reproducibility. They also delivered cross-platform documentation and pre-packaged environment guides in Markdown to streamline onboarding and ensure consistent setup. Further, Lihanyi improved data parsing and model management by updating tissue segmentation models, expanding chip compatibility, and fixing configuration bugs, demonstrating a thorough approach to scientific computing and robust software versioning practices.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

11Total
Bugs
1
Commits
11
Features
6
Lines of code
407
Activity Months3

Work History

September 2025

7 Commits • 4 Features

Sep 1, 2025

Monthly performance summary for 2025-09 focusing on STOmics/cellbin2 development. Delivered enhancements to data processing, improved compatibility with updated tissues models, and strengthened documentation to support production-ready usage. The work emphasizes business value through more accurate data interpretation, broader device support, and streamlined deployment.

August 2025

2 Commits • 1 Features

Aug 1, 2025

In August 2025, delivered essential documentation improvements for pre-packaged environments in STOmics/cellbin2, focusing on cross-platform setup and rapid onboarding. Provided a Linux/Windows setup guide and a Quick Start README to accelerate user adoption and ensure reproducible environments. These efforts reduce onboarding time and support load by clarifying setup steps.

July 2025

2 Commits • 1 Features

Jul 1, 2025

Month: 2025-07. Summary of work focused on enhancing the image preprocessing stage for cell binning to improve segmentation quality, reproducibility, and automation in downstream analyses for STOmics/cellbin2.

Activity

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Quality Metrics

Correctness89.2%
Maintainability89.2%
Architecture87.4%
Performance80.0%
AI Usage21.8%

Skills & Technologies

Programming Languages

MarkdownPythonYAML

Technical Skills

Computer VisionConfiguration ManagementData HandlingData ParsingData ProcessingDocumentationEnvironment SetupImage ProcessingModel ManagementPython DevelopmentScientific ComputingScriptingSoftware Versioning

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

STOmics/cellbin2

Jul 2025 Sep 2025
3 Months active

Languages Used

PythonYAMLMarkdown

Technical Skills

Computer VisionConfiguration ManagementImage ProcessingPython DevelopmentDocumentationEnvironment Setup

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