Python codes for STM data analysis
收藏DataCite Commons2025-02-09 更新2025-02-15 收录
下载链接：
https://researchdata.cab.unipd.it/id/eprint/1489
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资源简介：
Python codes were conceived to work with ASCII .txt files with XYZ arrays, both as input and output. This makes codes highly compatible and universally usable. Code A provides an example of conversion from a .s94 data format to the requested ASCII .txt. Image analysis software always allow to export source files to .txt files with XYZ arrays, sometimes placing a text header before the data values to indicate the data scales.
The script (code A) is created to convert raw STM files (.s94) into XYZ-type ASCII files, that can be opened by the WSxM software
The script (code B) is developed to read the XYZ-type ASCII files and perform the flattening and equalizing filters by operating with an entire input file folder.
The script (code C) was conceived with the possibility of optimizing the number of clusters
The script (code D) reads a sample of images starting from the first one to the number N, which is selected by the user, it calculates the maximum extension of the Z values distribution for every image and returns an average extension value
The script (code E) correct the drift affecting STM images
提供机构：
Centro di Ateneo per le Biblioteche dell'Università degli Studi di Padova
创建时间：
2025-02-09
