
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.

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.
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.
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.
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.
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.
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.
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