Scientific software for image analysis, measurement, calibration, visualization, and publication-ready figure creation. NotyLab helps researchers, students, and labs work with scientific images, measurements, scale bars, visual outputs, and multi-panel figures through a growing suite of web and desktop tools. Built by a scientific software team with roots in materials science, microscopy image analysis, and modern web development. NotyLab grew from an earlier scientific image analysis project called Anix. The first version of Anix was developed around 2009 as a Windows application for researchers who needed accessible tools for microscopy image analysis, measurement, calibration, and visualization. Anix was used in academic and research workflows, especially for SEM and TEM image analysis. It was also featured in a Persian university book published by Kermanshah University of Medical Sciences Press, focused on analyzing electron microscopy images using the Anix software suite. The experience behind Anix shaped a broader vision: a modern scientific software platform that works across web and desktop environments and helps researchers move from raw scientific images to clear, reproducible, publication-ready outputs. That vision became NotyLab. Anix started as a Windows scientific image analysis tool for microscopy and materials science workflows. Years of practical use helped shape a deeper understanding of real lab, microscopy, measurement, and publication workflow needs. A Persian university book was published on SEM and TEM image analysis using the Anix software suite. NotyLab is being rebuilt as a modern scientific software suite for web and desktop environments. Working toward AI-assisted, reproducible, and publication-ready scientific workflows. Our mission is to make scientific software easier to use, more accessible, and more practical for researchers who need reliable analysis and clear visual results. Reduce repetitive manual work in image analysis, calibration, measurement, and figure preparation. Help researchers keep their settings, measurements, outputs, and figure preparation steps more consistent. Help users create clean figures, scale bars, labels, measurements, and visual outputs suitable for papers, reports, and presentations. NotyLab is being developed as a connected suite of scientific tools. Each product focuses on a specific workflow, while the platform keeps the experience consistent for researchers. Tools for working with scientific image datasets, processing steps, and quantitative interpretation. Reliable calibration workflows with scale bars and measurement context for scientific imagery. Build publication-ready image grids and figure layouts for manuscripts and presentations. Capture distances, regions, and other scientific measurements with clear visual context. Support for microstructure-focused workflows relevant to materials characterization tasks. Create clean plots and visual outputs to communicate analysis results more clearly. Planned tools for X-ray diffraction related analysis and data interpretation workflows. Future support for hardness testing data workflows and practical analysis outputs. AI-assisted features designed to reduce manual effort while keeping researchers in control. NotyLab is built for researchers who want practical tools for image analysis, measurement, visualization, and figure preparation without unnecessary complexity. Good scientific software should help researchers work faster while keeping the analysis understandable, consistent, and under their control. NotyLab should make analysis steps, settings, and outputs easier to understand. AI can help speed up workflows, but researchers should stay in control of important scientific decisions. Researchers often work under publication deadlines, revision cycles, and large data workloads. NotyLab should reduce friction, not add complexity. Scientific work often continues beyond analysis. NotyLab helps connect measurement, visualization, layout, labeling, and export. NotyLab is currently built by a small core team combining software engineering, scientific background, research experience, and product thinking. Founder, Product Creator & Senior Web Developer Mohammad Ali Zandi is the founder and main creator of NotyLab. With a background in Materials Engineering and senior-level web development experience, he bridges scientific image analysis needs with modern software engineering. He leads the product vision, architecture, and development of the NotyLab platform. Scientific Research Advisor & Core Team Member Morteza Alehoseini is a postdoctoral researcher in Denmark and a core member of the NotyLab team. He contributes scientific insight, research workflow perspective, and academic validation needs to help shape NotyLab for real-world researchers. Denmark Product Owner & Core Team Member Javad Kian works with the NotyLab team as Product Owner, helping translate researcher needs into clear product priorities, user workflows, and practical development direction. NotyLab is a long-term platform. We are working toward a scientific workspace where researchers can manage projects, analyze images, create figures, store results, and prepare publication-ready outputs more easily. Working toward Refining practical analysis workflows based on real research feedback and evolving scientific needs. Planned Expanding calibration and scale bar tooling to make accurate figure preparation simpler. Exploring Building a connected workspace experience for managing project files, assets, and outputs. Working toward Improving tracking of settings and workflow history to support reproducible scientific results. Exploring Evaluating AI-assisted capabilities that accelerate workflows while preserving user control. Planned Enhancing export and reporting options for manuscripts, lab reports, and presentations. Working toward Continuing to connect desktop and web workflows for more flexible scientific work. NotyLab is not designed as a generic design tool. It is built around the practical needs of researchers who work with scientific images, microscopy data, measurements, calibration, figures, and analysis outputs. NotyLab builds on the experience of Anix, an earlier microscopy image analysis software project used in academic and research contexts. A Persian educational book introducing SEM and TEM microscopy image analysis using the Anix software suite. The book covers topics such as phase percentage calculation, particle size distribution, scale calibration, and microscopy-based measurements. Verified scientific citations mentioning Anix can be added here after review. This section should only include citations that have been checked for accuracy and relevance. Discover tools for scientific image grids, scale bars, calibration, measurement, analysis, visualization, and publication-ready figure creation.About NotyLab
From Anix to NotyLab
Anix begins
Research workflow learning
Academic educational reference
NotyLab platform
Future direction
Our Mission
Make analysis easier
Support reproducible workflows
Prepare publication-ready results
What We Build
Scientific Image Analysis
Scale Bars & Calibration
Multi-Panel Figure Creation
Measurement Tools
Grain & Phase Analysis
Plotting & Visualization
XRD Analysis
Hardness Testing
AI-Assisted Research Workflows
Who We Build For
Graduate Students
PhD Researchers
Materials Scientists
Biomedical Researchers
Microscopy Labs
Research Teams
University Labs
Authors Preparing Journal Figures
How We Think About Scientific Software
Scientific clarity first
AI should assist, not hide the science
Designed for real research pressure
From raw image to final figure
Meet the Core Team
Mohammad Ali Zandi
Morteza Alehoseini
Javad Kian
Where NotyLab Is Going
Better image analysis workflows
Smarter scale bar and calibration tools
Scientific workspace for projects and files
More reproducible analysis history
AI-assisted segmentation and measurement
Publication-ready reporting and exports
Desktop and web workflows
Built from Real Scientific Workflow Needs
Academic and Educational References
Persian university book on SEM/TEM image analysis with Anix
Selected Scientific Citations Mentioning Anix
Explore the NotyLab Platform
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