April 2026 monthly summary focusing on business value and technical achievements across two repositories, with emphasis on delivering a new evaluation capability and improving code quality and reliability.

January 2026 monthly summary focusing on architectural modernization and legacy migration across two repositories. Key actions include relocating legacy DeepCenter components to a dedicated legacy directory and deprecating the DeepCenter protocol by moving it to legacy, renaming protocol files, and removing references from main configuration. These changes reduce maintenance burden, establish a forward-looking migration path for users, and align with the project’s strategy to prefer updated protocols. Commit-level traceability is preserved through explicit messages (abf237a88ccc39b920e986525de56759574d19b7; 4aa3639194ec75fb4f71eeae577a9d86ca62c1d3).

Implemented All Classes Visualization in Consensus Viewer for I2PC/scipion-em-xmipp, adding a hidden parameter to show all classes and the corresponding visualization logic. This enables comprehensive consensus analysis and improves interpretability and reproducibility of results.

October 2025 monthly summary for I2PC/scipion-em-xmipp: Delivered half-map support for the crop/resize pipeline and enabled FSC computation using half-maps via a new useHalves option. Added a helper for input/output arguments and updated validation and summary reporting to reflect the half-map workflow. No major bugs were reported this month; the focus was on delivering the feature and improving robustness of the workflow and reporting. Technologies demonstrated include Python-based data processing, pipeline integration, and FSC analysis using half-maps.

August 2025: I2PC/xmipp monthly highlights. Delivered a new Python binding xmipp_getPSF that computes the Point Spread Function (PSF) from a given CTF by performing an inverse Fourier transform on CTF values, enabling PSF estimation directly within Python workflows. This reduces manual steps in PSF analysis and improves reproducibility of imaging pipelines. No major bugs fixed in this scope. Overall impact: accelerates PSF-based validation, enhances data analysis reliability, and expands XMIPP's Python API. Technologies/skills demonstrated: Python bindings development, cross-language integration (C/C++ and Python), Fourier transform concepts, and version-control-conscious contribution to an open-source imaging toolkit.

June 2025 summary for I2PC/scipion-em-xmipp: Implemented user-controlled CTF envelope correction in Fourier reconstruction. Added a new boolean parameter 'correctEnvelope' (default false) that, when used with 'correctCTF', passes the '--correct_envelope' flag to the underlying reconstruction process. This delivers explicit control over envelope correction, improving reproducibility and experimental flexibility. Changes are captured in two commits: 4122d1319eac91fc742bf91e5e63415aa8cb6ae8 ('Optionally consider the envelope') and b3f8f5d213c420473a90d0614d68ec20583c62bc ('Do not correct envelope by default').

February 2025 monthly review: Delivered new data-type support for Micrograph (DT_SChar), expanding image format compatibility; strengthened processing pipelines by implementing half-map handling in multi-volume workflows, then reverted to a clean workflow to reduce complexity. Improved robustness by guarding against missing valid maps. Refined particle extraction validation tests to align expectations with actual results. Enabled Chimera-friendly visualization by emitting per-volume MRC files with correct headers. These changes improve data interoperability, reduce runtime errors, enhance test reliability, and streamline downstream visualization, delivering measurable business value through more robust and capable processing pipelines.

December 2024 performance for I2PC/scipion-em-xmipp focused on strengthening protocol reliability, expanding analytical capabilities, and bolstering test coverage. Key features delivered include protocol validation and alignment enhancements (blacklist improvements and a new Align protocol), a new computeAvg option to calculate and persist the average of aligned volumes, and an initial DeepCenter_predict testing framework with data loading and verification. These changes enable more robust protocol validation, reproducible analyses, and faster downstream processing. Quality improvements were achieved through test cleanup and cosmetic fixes to support stable test runs (e.g., removal of a Spanish comment).

November 2024 monthly summary: Focused on reliability, portability, and maintainability across I2PC/scipion-em-xmipp and I2PC/xmipp. Delivered robust alignment workflows, introduced a protocol consistency tool, standardized model loading for deep center prediction, and fixed critical runtime issues. These results reduce misconfigurations, improve test stability, and accelerate future development, delivering business value through reproducible workflows and scalable architecture.

Month 2024-10: Delivered targeted fixes and reliability-focused improvements across two repositories, emphasizing CTF estimation accuracy, defocus processing stability, and enhanced debugging capabilities. Highlights include a defect fix enabling more robust defocus estimation, a reliability improvement for CTF estimation across varying downsampling, and proper internal state management to prevent latent defocus processing issues.