About NotyLab
Built for researchers. Shaped by real scientific work.
From microscopy images and scientific measurements to plots and publication-ready figures, NotyLab brings everyday research tools into one connected workspace.
Independent development. Research roots. Researcher-controlled analysis.
A connected research workflow
- Experimental data
- Analysis & measurements
- Plots & publication figures
More time understanding your data.
Less time fighting with software. More time understanding your data.
One application for microscopy, another for measurements, another for plotting, and another for figure preparation. Even a simple analysis can become a series of exports, conversions, and repeated settings.
NotyLab grew out of that friction. We are building a workspace where images, measurements, plots, samples, and analysis workflows work together.
It started long before NotyLab.
The ideas behind NotyLab began with practical problems in materials science and microscopy. Anix, our earlier collection of scientific tools, supported image analysis, particle measurement, phase analysis, calibration, and plotting. Researchers and students used it in academic work, and educational material grew around it.
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01
Anix
Individual tools built for specific research problems.
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02
Years of research feedback
Practical use taught us to value clarity, reliability, and tools that are fast to learn.
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03
NotyLab
The next generation: rebuilding those tools as parts of one scientific platform.
Make scientific analysis more accessible without taking control away from the researcher.
Academic and Educational References
Persian university book on SEM/TEM image analysis with Anix
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.
Designed around real research workflows.
Our focus spans the everyday tasks of laboratories and research projects. The platform is evolving; individual tool pages describe current availability and capabilities.
Images & measurements
From microscopy images to quantitative results.
- Microscopy and SEM image analysis
- Calibration and scale bars
- Particle and feature measurements
- Phase and area percentages
- Coating thickness and grain analysis
Data & scientific plots
Tools for interpreting experimental signals.
- Scientific plotting
- XRD, FTIR, Raman, and UV-Vis workflows
- DSC and TGA workflows
- Peak detection and curve analysis
Figures & research context
Keep the path from analysis to communication connected.
- Multi-panel scientific figures
- Publication-ready visual outputs
- Samples, images, and experimental data
- Shared preparation across related tools
Research experience meets software engineering.
Features start with recognizable research problems. Experience in materials science, microscopy, image analysis, software engineering, and product development helps us ask two questions: does the method make scientific sense, and can a researcher use it efficiently?
Mohammad Ali Zandi
Founder & Product Creator
Mohammad Ali Zandi founded NotyLab with a background in Materials Science and Engineering. His academic work spanned materials characterization, nanostructured materials, ferrites, microscopy, and image analysis. Professional experience with C#, .NET, Angular, and databases connects that research background with the software he builds today.
Morteza Alehoseini
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 process perspective, and academic validation needs to help shape NotyLab for real-world researchers.
Javad Kian
Product Owner & Core Team Member
Javad Kian works with the NotyLab team as Product Owner, helping translate researcher needs into clear product priorities, user tasks, and practical development direction.
Scientific trust starts with transparency.
The researcher stays in control of the final scientific interpretation.
Understand the analysis
Our aim is to keep detected results inspectable, parameters adjustable, and measurements repeatable, so researchers can review suggestions and compare results.
AI assists. You decide.
AI and automated detection can reduce repetitive work, from identifying regions to suggesting parameters. Automated results need review; scientific conclusions remain with the researcher.
Useful over complicated
Complex analysis does not require a complicated interface. We aim for understandable steps, with advanced controls available when they are needed.
A measurement needs its context.
NotyLab is being designed around structured projects, samples, assets, calibration information, and analysis settings. Our long-term goal is to make the path from raw data to a publication figure easier to follow and reproduce.
- Raw experimental data
- Analysis
- Interpretation
- Publication figure
Independent by design. Shaped by research.
NotyLab is an independently developed scientific software project, continuously tested and improved through researcher feedback. We aim to be clear about what each tool can do, where validation is needed, and when an automated result is a suggestion.
Practical
Every tool should solve a recognizable research problem.
Connected
Related analysis steps should share data and preparation.
Trustworthy
Automation should remain inspectable, adjustable, and understandable.
Help shape NotyLab.
Some of the most useful improvements begin with a real dataset or a difficult research task. Tell us about a workflow that could be simpler or an analysis we could support better. Your feedback helps shape what comes next.