MIRA.
Microscopic Image Rapid Analysis
Powerful tool for the representation and the analysis of data obtained by any scanning probe microscopy . Features an extensive range of 2D/3D data tools for area scan data obtained with SECM.
MIRA: Advanced Analysis Tool for Scanning Probe Microscopy Data
MIRA (Microscopic Image Rapid Analysis) is a powerful software package developed by Gunther Wittstock at the University of Oldenburg. MIRA is fully compatible with data files produced by BioLogic’s M470 and supports a variety of BioLogic data files, making it versatile for different scanning probe applications, including:
- Cyclic Voltammetry (CV)
- Area Scans
- Line Scans
- Probe Approach Curves
Need support information or the latest version of BioLogic MIRA
This versatile tool enhances the representation and analysis of data obtained from various scanning probe microscopy techniques, expanding their utility for electrochemical research.
Key Features
MIRA excels in its ability to handle complex microscopy data through advanced visualization and analysis tools. It offers:
2D and 3D Data Representation: MIRA provides a wide range of tools for visualizing area scan data in both 2D and 3D, making it suitable for various data types obtained through SECM and other scanning probe techniques.
Post-Treatment Operations: Users can optimize data representation using post-processing functions such as:
- Flattening
- Spike removal
- Deblurring/edge enhancement
- Data cutoff for refining visual outputs
Data Analysis Tools: MIRA is equipped with comprehensive data analysis functions including:
- Statistical analysis tools
- 1D Fast Fourier Transform (FFT) for frequency domain analysis
- Histogram generation for data distribution insights
A particularly powerful feature of MIRA is its SECM Approach Curve Fitting capability. This feature allows users to fit approach curves obtained by SECM using various mathematical equations based on specific experimental conditions. The software can handle scenarios with or without current offset, approach curves for conductors or insulators, and Generation/Collection mode. Fitting these curves provides researchers with access to critical parameters such as:
- Actual probe-to-sample distance
- RG factor (the ratio of the radius of the insulating sheath to the radius of the probe tip)
- Tip current in semi-infinite conditions
- Probe tip radius
These detailed parameters are essential for accurate data interpretation in electrochemical and surface science studies.
Applications
MIRA is ideally suited for researchers working with:
- Area maps (topography, local impedance, local electrochemical activity, local current)
- SECM approach curve fitting, particularly using data obtained from BioLogic’s M370, M470, or SECM150 instruments
By combining powerful data analysis tools and post-processing capabilities, MIRA is an indispensable tool for researchers needing to analyze and interpret high-resolution scanning probe microscopy data. Its wide range of features, along with its user-friendly interface, makes it ideal for both routine analyses and more complex data interpretations.