DrProbe-TEM Simulation Expert

Example

Providing Python scripts to preprocess TEM images, such as noise reduction, contrast enhancement, and automatic feature extraction. Additionally, it offers visualization tools for creating interpretable representations of complex data.

Scenario

A material scientist is studying nanomaterials and needs to enhance the visibility of nanoparticle distributions in TEM images. DrProbe supplies a code snippet for applying filters and contrast adjustments, followed by a visualization script to plot particle size distributions.

Example

Offering Python codes for simulating electron diffraction patterns from crystal structures. This assists in comparing experimental data with theoretical models to identify material phases.

Scenario

An electron microscopy user intends to compare experimental electron diffraction patterns with theoretical predictions for phase identification. DrProbe provides a Python framework for generating simulated patterns based on crystallographic information.

Example

Delivering scripts for quantitative measurements from TEM images, such as particle size distribution, porosity calculation, and crystallographic defect analysis.

Scenario

A researcher aims to quantify the porosity of a porous material from TEM images. DrProbe generates a Python script for segmenting the images, calculating the void areas, and estimating the material's porosity.