mantidproject/mantidimaging
Aug 2024 – Mar 2026
18 Months active
Languages Used
PythonMarkdownNumPyXMLPyQt5C++PyQtGraphNumpy
Technical Skills
Data VisualizationGUI DevelopmentSignal ProcessingCode CleanupCode RefactoringData Caching
Mike Sullivan
PROFILE
Mike Sullivan
Michael Sullivan developed advanced data visualization and processing features for the mantidproject/mantidimaging repository, focusing on robust ROI-based spectrum analysis, image stack management, and export workflows. He engineered asynchronous and multithreaded algorithms in Python and PyQt5 to ensure responsive GUIs and accurate scientific computation, integrating tools like NumPy for efficient data handling. His work included implementing dynamic ROI detection, spectrum fitting with parameter bounds, and automated sinogram export, all supported by comprehensive unit and system tests. By emphasizing code quality, maintainability, and user-driven workflows, Michael delivered scalable solutions that improved data integrity, usability, and release reliability for scientific imaging applications.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
238Total
Bugs
14
Commits
238
Features
62
Lines of code
6,213
Activity Months18
Your Network
102 peopleSame Organization
@stfc.ac.uk95
Work History
March 2026
12 Commits • 4 Features
Mar 1, 2026March 2026 (mantidproject/mantidimaging): Delivered key enhancements to sinogram export, reinforced data integrity in ImageStack, improved loading/projection handling, and expanded testing. These changes streamline researchers' workflows, improve export reliability, and strengthen release confidence.
12 Commits • 4 Features
Mar 1, 2026March 2026 (mantidproject/mantidimaging): Delivered key enhancements to sinogram export, reinforced data integrity in ImageStack, improved loading/projection handling, and expanded testing. These changes streamline researchers' workflows, improve export reliability, and strengthen release confidence.
March 2026
February 2026
19 Commits • 6 Features
Feb 1, 2026February 2026 – mantidimaging: Delivered core UI-driven stack management, robust dataset handling, improved loading correctness, and enhanced export UI with comprehensive tests, tightening data integrity and user workflow while expanding test coverage and code quality.
February 2026
19 Commits • 6 Features
Feb 1, 2026February 2026 – mantidimaging: Delivered core UI-driven stack management, robust dataset handling, improved loading correctness, and enhanced export UI with comprehensive tests, tightening data integrity and user workflow while expanding test coverage and code quality.
January 2026
15 Commits • 5 Features
Jan 1, 2026January 2026 focused on delivering user-centric renaming, robust file loading/search, smarter auto-linking of related files, and angle-aware stack operations, while tightening code quality through testing and dependency updates. These efforts reduce manual steps, improve data integrity, and accelerate end-to-end workflows in mantidimaging.
15 Commits • 5 Features
Jan 1, 2026January 2026 focused on delivering user-centric renaming, robust file loading/search, smarter auto-linking of related files, and angle-aware stack operations, while tightening code quality through testing and dependency updates. These efforts reduce manual steps, improve data integrity, and accelerate end-to-end workflows in mantidimaging.
January 2026
December 2025
9 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for mantidimaging: Delivered three user-centric UI enhancements to improve workflow efficiency and data management. Implemented Append Image Stacks feature with GUI-driven selection and concatenation of image stack types to enable users to create composite stacks. Introduced SafeApply UI toggle with persistence across sessions via QSettings for consistent filter behavior. Added Dataset and Image Stack Renaming workflow, including right-click rename in the tree, a dedicated rename dialog, and underlying presenter/dialog logic with tests and release notes. Strengthened quality with test fixes and expanded coverage (e.g., Operations model test_filter_names) and tests around rename flows, contributing to stability and maintainability.
December 2025
9 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for mantidimaging: Delivered three user-centric UI enhancements to improve workflow efficiency and data management. Implemented Append Image Stacks feature with GUI-driven selection and concatenation of image stack types to enable users to create composite stacks. Introduced SafeApply UI toggle with persistence across sessions via QSettings for consistent filter behavior. Added Dataset and Image Stack Renaming workflow, including right-click rename in the tree, a dedicated rename dialog, and underlying presenter/dialog logic with tests and release notes. Strengthened quality with test fixes and expanded coverage (e.g., Operations model test_filter_names) and tests around rename flows, contributing to stability and maintainability.
November 2025
15 Commits • 5 Features
Nov 1, 2025Month: 2025-11 — Mantid Imaging (mantidproject/mantidimaging) – Performance/Delivery Summary Key features delivered - PyInstaller packaging enhancements: include cilacc.so, vtkmodules, and matplotlib; updated file collection hooks with an accompanying release note describing fixes. - Spectrum Viewer enhancements: refined ROI display, improved initialization order, automatic normalise stack selection behavior, and ROI handling for varying image stack sizes (with ROI reset when stack size changes). - Dependency updates and CI/build stability: upgraded core dependencies for performance and compatibility (ccpi-regulariser 25.0.* and numexpr 2.10.*) and addressed Windows CI build timeout to improve reliability. - Code quality and formatting improvements: refactor for readability and consistent style using yapf across the codebase. - Testing framework leak tracking improvements: reduce noisy output, add a leak-check flag, and ensure the leak tracker is cleared after tests for reliability. Major bugs fixed - Spectrum Viewer: stabilized ROI behavior across varying stack sizes; ROI reset logic on stack size changes. - CI: resolved Windows build timeout issues, improving build reliability and feedback speed. - Testing: enhanced leak-tracking reliability by ensuring tracker clearance in all test paths, reducing false positives. Overall impact and accomplishments - More robust, maintainable product delivery with fewer post-release issues and smoother deployments due to packaging and CI stability improvements. - Enhanced Spectrum Viewer reliability and usability for ROI-based analyses across diverse datasets. - Faster release cycles enabled by improved packaging, dependency management, and CI feedback. Technologies/skills demonstrated - Python packaging with PyInstaller and dynamic libraries; release-note documentation. - Spectrum Viewer UX/data handling improvements (ROI display, initialization order, normalization, cross-stack ROI handling). - Dependency management and CI optimization, including Windows-specific reliability enhancements. - Code quality tooling (yapf) and test reliability improvements (leak-tracking). This month’s work emphasizes delivering business value through reliable packaging, stable CI, and robust data-visualization capabilities, enabling faster, more trustworthy analyses for end users.
15 Commits • 5 Features
Nov 1, 2025Month: 2025-11 — Mantid Imaging (mantidproject/mantidimaging) – Performance/Delivery Summary Key features delivered - PyInstaller packaging enhancements: include cilacc.so, vtkmodules, and matplotlib; updated file collection hooks with an accompanying release note describing fixes. - Spectrum Viewer enhancements: refined ROI display, improved initialization order, automatic normalise stack selection behavior, and ROI handling for varying image stack sizes (with ROI reset when stack size changes). - Dependency updates and CI/build stability: upgraded core dependencies for performance and compatibility (ccpi-regulariser 25.0.* and numexpr 2.10.*) and addressed Windows CI build timeout to improve reliability. - Code quality and formatting improvements: refactor for readability and consistent style using yapf across the codebase. - Testing framework leak tracking improvements: reduce noisy output, add a leak-check flag, and ensure the leak tracker is cleared after tests for reliability. Major bugs fixed - Spectrum Viewer: stabilized ROI behavior across varying stack sizes; ROI reset logic on stack size changes. - CI: resolved Windows build timeout issues, improving build reliability and feedback speed. - Testing: enhanced leak-tracking reliability by ensuring tracker clearance in all test paths, reducing false positives. Overall impact and accomplishments - More robust, maintainable product delivery with fewer post-release issues and smoother deployments due to packaging and CI stability improvements. - Enhanced Spectrum Viewer reliability and usability for ROI-based analyses across diverse datasets. - Faster release cycles enabled by improved packaging, dependency management, and CI feedback. Technologies/skills demonstrated - Python packaging with PyInstaller and dynamic libraries; release-note documentation. - Spectrum Viewer UX/data handling improvements (ROI display, initialization order, normalization, cross-stack ROI handling). - Dependency management and CI optimization, including Windows-specific reliability enhancements. - Code quality tooling (yapf) and test reliability improvements (leak-tracking). This month’s work emphasizes delivering business value through reliable packaging, stable CI, and robust data-visualization capabilities, enabling faster, more trustworthy analyses for end users.
November 2025
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a major enhancement to the Fitting Engine in mantidimaging by enabling explicit parameter bounds handling and ensuring bounds are respected during minimization. Updated the spectrum_viewer presenter to pass bounds to the fitting process and extended the minimization routine to account for all model parameters. Strengthened test coverage with targeted tests for fixed and range-based bounds. These changes improve the reliability and interpretability of parameter estimates under constraints, enabling more accurate scientific analysis and reducing downstream support.
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a major enhancement to the Fitting Engine in mantidimaging by enabling explicit parameter bounds handling and ensuring bounds are respected during minimization. Updated the spectrum_viewer presenter to pass bounds to the fitting process and extended the minimization routine to account for all model parameters. Strengthened test coverage with targeted tests for fixed and range-based bounds. These changes improve the reliability and interpretability of parameter estimates under constraints, enabling more accurate scientific analysis and reducing downstream support.
September 2025
9 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for mantidimaging: Delivered robust ROI cropping enhancements and UI initializations to improve accuracy, reproducibility, and usability of ROI extraction across image stacks. Key advances include gradient-based bounding box detection with noise-floor thresholding and integer-coordinate bounding boxes, edge-effect mitigation by skipping the first 10% of pixels, and ROI initialization driven by bounding box calculations with accompanying UI updates. Also added export-mode aware ROI adjustments and degenerate-data handling to hide fitting regions, supported by updated tests. These changes reduce manual tuning, improve consistency across datasets, and strengthen downstream export pipelines. Technologies demonstrated: Python, image processing algorithms, UI/test automation, and release-note documentation.
9 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for mantidimaging: Delivered robust ROI cropping enhancements and UI initializations to improve accuracy, reproducibility, and usability of ROI extraction across image stacks. Key advances include gradient-based bounding box detection with noise-floor thresholding and integer-coordinate bounding boxes, edge-effect mitigation by skipping the first 10% of pixels, and ROI initialization driven by bounding box calculations with accompanying UI updates. Also added export-mode aware ROI adjustments and degenerate-data handling to hide fitting regions, supported by updated tests. These changes reduce manual tuning, improve consistency across datasets, and strengthen downstream export pipelines. Technologies demonstrated: Python, image processing algorithms, UI/test automation, and release-note documentation.
September 2025
August 2025
22 Commits • 8 Features
Aug 1, 2025August 2025 monthly summary for mantidproject/mantidimaging focused on delivering configurable runtime behavior, robust parallel processing, and platform-aware test portability, with ongoing code quality improvements and release readiness.
August 2025
22 Commits • 8 Features
Aug 1, 2025August 2025 monthly summary for mantidproject/mantidimaging focused on delivering configurable runtime behavior, robust parallel processing, and platform-aware test portability, with ongoing code quality improvements and release readiness.
July 2025
12 Commits • 3 Features
Jul 1, 2025July 2025: Delivered key features to improve ROI interaction and viewer performance, enhanced stability and release readiness for mantidimaging. Implemented dynamic ROI spinbox limit updates, improved ROI handling in tests, offloaded heavy computations to a dedicated thread with masked-array data handling, updated presenter logic, and refreshed PyInstaller dependencies with release notes addressing pkg_resources deprecation. Strengthened test coverage and resource management to boost reliability and maintainability.
12 Commits • 3 Features
Jul 1, 2025July 2025: Delivered key features to improve ROI interaction and viewer performance, enhanced stability and release readiness for mantidimaging. Implemented dynamic ROI spinbox limit updates, improved ROI handling in tests, offloaded heavy computations to a dedicated thread with masked-array data handling, updated presenter logic, and refreshed PyInstaller dependencies with release notes addressing pkg_resources deprecation. Strengthened test coverage and resource management to boost reliability and maintainability.
July 2025
June 2025
17 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for mantidimaging: Delivered end-to-end enhancements to Spectrum Viewer and data processing, improving modeling flexibility, data integrity, and user experience. Integrated Santisteban fitting into Spectrum Viewer with model switching and prefitting; refined tolerance handling around Bragg Edge; expanded tests and added release notes. Improved shutter overlap data processing to ensure continuity between shutters. Strengthened ROI/UI stability with thread-safety fixes and improved rename/color handling. These efforts deliver tangible business value by enabling more accurate data interpretation, reducing manual tuning, and accelerating science workflows.
June 2025
17 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for mantidimaging: Delivered end-to-end enhancements to Spectrum Viewer and data processing, improving modeling flexibility, data integrity, and user experience. Integrated Santisteban fitting into Spectrum Viewer with model switching and prefitting; refined tolerance handling around Bragg Edge; expanded tests and added release notes. Improved shutter overlap data processing to ensure continuity between shutters. Strengthened ROI/UI stability with thread-safety fixes and improved rename/color handling. These efforts deliver tangible business value by enabling more accurate data interpretation, reducing manual tuning, and accelerating science workflows.
May 2025
19 Commits • 2 Features
May 1, 2025May 2025 accomplishments for mantidimaging focused on delivering testable data processing capabilities, boosting UI responsiveness, and strengthening test coverage to accelerate secure, scalable development and enable faster decision-making. Key work included data-loading utilities and synthetic data generation for shutter counts and related files; performance-oriented enhancements to the Spectrum Viewer with off-main-thread computation and robust ROI handling; and targeted test improvements to increase stability across CI, system, and eyes tests.
19 Commits • 2 Features
May 1, 2025May 2025 accomplishments for mantidimaging focused on delivering testable data processing capabilities, boosting UI responsiveness, and strengthening test coverage to accelerate secure, scalable development and enable faster decision-making. Key work included data-loading utilities and synthetic data generation for shutter counts and related files; performance-oriented enhancements to the Spectrum Viewer with off-main-thread computation and robust ROI handling; and targeted test improvements to increase stability across CI, system, and eyes tests.
May 2025
April 2025
16 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for mantidimaging (mantidproject/mantidimaging). This period delivered two feature-driven initiatives focused on data fidelity and user experience, alongside stability improvements that enhance release readiness. Highlights include the Overlap Correction filter for MantidImaging with tests, error handling improvements, and migration/docs notes, and Spectrum Viewer performance/UX improvements driven by a spectra cache to accelerate startup, reduce memory usage, and streamline UI initialization. In addition, targeted bug fixes and test stabilizations increased reliability and maintainability for ongoing development. These efforts collectively improve data quality, accelerate imaging workflows, and strengthen the platform’s robustness for end users and developers.
April 2025
16 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for mantidimaging (mantidproject/mantidimaging). This period delivered two feature-driven initiatives focused on data fidelity and user experience, alongside stability improvements that enhance release readiness. Highlights include the Overlap Correction filter for MantidImaging with tests, error handling improvements, and migration/docs notes, and Spectrum Viewer performance/UX improvements driven by a spectra cache to accelerate startup, reduce memory usage, and streamline UI initialization. In addition, targeted bug fixes and test stabilizations increased reliability and maintainability for ongoing development. These efforts collectively improve data quality, accelerate imaging workflows, and strengthen the platform’s robustness for end users and developers.
March 2025
11 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) focused on delivering robust Spectrum Viewer plotting enhancements for mantidimaging and stabilizing core plotting infrastructure. The work improves responsiveness and flexibility for researchers, while addressing a critical initialization bug that blocked Spectrum Viewer startup.
11 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) focused on delivering robust Spectrum Viewer plotting enhancements for mantidimaging and stabilizing core plotting infrastructure. The work improves responsiveness and flexibility for researchers, while addressing a critical initialization bug that blocked Spectrum Viewer startup.
March 2025
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for mantidimaging focused on LiveViewer improvements, robustness, and data visualization accuracy. Delivered three concrete items with measurable business value: performance and reliability of image processing, reduced error noise, and synchronized plots with current imagery.
February 2025
7 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for mantidimaging focused on LiveViewer improvements, robustness, and data visualization accuracy. Delivered three concrete items with measurable business value: performance and reliability of image processing, reduced error noise, and synchronized plots with current imagery.
January 2025
22 Commits • 10 Features
Jan 1, 2025January 2025 (2025-01) Monthly summary for mantidimaging. Delivered a set of user-facing features to enhance ROI-based spectrum analysis, strengthened code quality with typing and tests, and added robust error handling and validation through system tests and release notes. The work focused on delivering business value by improving analysis responsiveness, reliability, and maintainability, while expanding test coverage and readiness for release.
22 Commits • 10 Features
Jan 1, 2025January 2025 (2025-01) Monthly summary for mantidimaging. Delivered a set of user-facing features to enhance ROI-based spectrum analysis, strengthened code quality with typing and tests, and added robust error handling and validation through system tests and release notes. The work focused on delivering business value by improving analysis responsiveness, reliability, and maintainability, while expanding test coverage and readiness for release.
January 2025
December 2024
12 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for mantidimaging: Delivered two ROI-aware features and substantial caching enhancements that improve UI responsiveness and data throughput, backed by unit tests and a refactored architecture. Key outcomes include: Live Viewer ROI Interaction and Mean Update Performance enabling partial mean recalculation, threading for background mean computation, and asynchronous spectrum updates; Image Caching System Enhancements and ROI-Integrated Mean Calculation providing cache-driven mean updates, ROI-aware mean calculations, and buffering for spectrum loading. These changes reduce ROI interaction latency, enable immediate ROI feedback, and improve memory management for large image datasets. Accompanied by unit tests for Live Viewer and caching to ensure robustness.
December 2024
12 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for mantidimaging: Delivered two ROI-aware features and substantial caching enhancements that improve UI responsiveness and data throughput, backed by unit tests and a refactored architecture. Key outcomes include: Live Viewer ROI Interaction and Mean Update Performance enabling partial mean recalculation, threading for background mean computation, and asynchronous spectrum updates; Image Caching System Enhancements and ROI-Integrated Mean Calculation providing cache-driven mean updates, ROI-aware mean calculations, and buffering for spectrum loading. These changes reduce ROI interaction latency, enable immediate ROI feedback, and improve memory management for large image datasets. Accompanied by unit tests for Live Viewer and caching to ensure robustness.
November 2024
17 Commits • 2 Features
Nov 1, 2024Monthly work summary for 2024-11 focusing on mantidimaging repository contributions across features and maintenance. Delivered multi-instance Live Viewer support, deprecated/remediated 180-degree projection paths, and extended dataset workflow with Proj_180 image type. Implemented code cleanliness and stability improvements around mean calculations, image caching, and LV lifecycle, driving a more scalable, user-friendly data analysis experience.
17 Commits • 2 Features
Nov 1, 2024Monthly work summary for 2024-11 focusing on mantidimaging repository contributions across features and maintenance. Delivered multi-instance Live Viewer support, deprecated/remediated 180-degree projection paths, and extended dataset workflow with Proj_180 image type. Implemented code cleanliness and stability improvements around mean calculations, image caching, and LV lifecycle, driving a more scalable, user-friendly data analysis experience.
November 2024
August 2024
1 Commits • 1 Features
Aug 1, 2024Monthly summary for 2024-08 (mantidproject/mantidimaging). Key feature delivered: Live Viewer Spectrum Visualization with ROI, enabling simultaneous visualization of spectrum data and the live image viewer with ROI-based analysis. This enhancement supports real-time inspection and region-focused exploration of spectral data directly in the viewer. Major bugs fixed: None reported for this period. Overall impact and accomplishments: Enables researchers to analyze spectrum data in-context alongside live imagery, reducing time to insight and improving the efficiency of spectral ROI investigations. The feature aligns with the product goal of integrated data exploration and strengthens the Mantid Imaging toolkit for real-time analysis workflows. Technologies/skills demonstrated: GUI integration, real-time data visualization, ROI tooling, commit-driven development, and adherence to repository standards; demonstrates end-to-end feature delivery from design to integration with the live viewer.
August 2024
1 Commits • 1 Features
Aug 1, 2024Monthly summary for 2024-08 (mantidproject/mantidimaging). Key feature delivered: Live Viewer Spectrum Visualization with ROI, enabling simultaneous visualization of spectrum data and the live image viewer with ROI-based analysis. This enhancement supports real-time inspection and region-focused exploration of spectral data directly in the viewer. Major bugs fixed: None reported for this period. Overall impact and accomplishments: Enables researchers to analyze spectrum data in-context alongside live imagery, reducing time to insight and improving the efficiency of spectral ROI investigations. The feature aligns with the product goal of integrated data exploration and strengthens the Mantid Imaging toolkit for real-time analysis workflows. Technologies/skills demonstrated: GUI integration, real-time data visualization, ROI tooling, commit-driven development, and adherence to repository standards; demonstrates end-to-end feature delivery from design to integration with the live viewer.
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Quality Metrics
Correctness88.4%
Maintainability87.4%
Architecture84.4%
Performance80.8%
AI Usage20.8%
Skills & Technologies
Programming Languages
C++MakefileMarkdownNumPyNumpyPyQt5PyQtGraphPythonTOMLXML
Technical Skills
Algorithm DevelopmentAlgorithm ImplementationAsynchronous ProgrammingAsynchronous programmingBackend DevelopmentBug FixBuild AutomationBuild ConfigurationBuild SystemsBuild ToolsCI/CDCachingCode CleanupCode FormattingCode Organization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline