You will get quantitative analysis of your scientific microscopy images
Project details
I combine materials-science research experience with rigorous SEM and TEM image analysis. Rather than only enhancing images, I produce calibrated, quantitative, and clearly documented results—such as particle-size distributions, porosity, morphology, lattice-fringe measurements, FFT interpretation, and annotated publication-ready figures.
My workflow is tailored to your research question and includes transparent analysis parameters, reproducible methods, and clear deliverables suitable for manuscripts, theses, technical reports, and presentations.
My workflow is tailored to your research question and includes transparent analysis parameters, reproducible methods, and clear deliverables suitable for manuscripts, theses, technical reports, and presentations.
Machine Learning Tools
ChatGPT, GitHub Copilot, NumPy, PyMC, Python, PyTorch, XGBoostWhat's included
| Service Tiers |
Starter
$250
|
Standard
$300
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 1 day |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - |
About Yeasin
Materials Scientist | AI & Machine Learning
Brisbane, Australia - 1:45 am local time
My work combines materials characterisation, quantitative scientific image analysis, Python-based data processing, machine learning, and technical research. I can assist with analysing microscopy and experimental data, extracting reliable measurements from scientific images, developing reproducible data-processing workflows, identifying patterns in materials datasets, and preparing clear scientific reports and publication-quality figures.
I have contributed to nine peer-reviewed research publications, including work published in ACS Omega, Carbon Letters, Heliyon, and the ECS Journal of Solid State Science and Technology. My research experience includes materials processing, superconducting materials, microstructure analysis, experimental interpretation, literature-based research, scientific writing, and research data presentation.
I am particularly interested in projects involving:
• Scientific image analysis and microscopy data
• Materials characterisation and microstructure interpretation
• Python-based scientific data analysis
• Machine learning for materials and experimental datasets
• Data cleaning, visualisation, and statistical interpretation
• AI-assisted scientific research workflows
• Technical literature review and evidence organisation
• Thesis, manuscript, and research-report support
• Scientific figures, diagrams, and graphical abstracts
I aim to provide technically accurate, well-documented, and reproducible work that researchers, engineers, and organisations can confidently use in their projects.
Steps for completing your project
After purchasing the project, send requirements so Yeasin can start the project.
Delivery time starts when Yeasin receives requirements from you.
Yeasin works on your project following the steps below.
Revisions may occur after the delivery date.
Review images and research objectives
I will inspect your SEM/TEM images, scale information, sample type, and required measurements to confirm a suitable analysis approach.
Calibrate and prepare images
I will calibrate image scale, improve contrast where appropriate, and prepare images for accurate quantitative analysis.