Durante, Christian and Cazzadori, Francesco and Facchin, Alessandro and Reginato, Silvio
(2025)
Python codes for STM data analysis.
[Data Collection]
Collection description
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
| DOI: |
 10.25430/researchdata.cab.unipd.it.00001489 |
| Keywords: |
EC-STM, Python, image analysis, drift, High throughput, porphyrin |
| Subjects: |
Physical:Sciences and Engineering > Physical and Analytical Chemical Sciences: Analytical chemistry, chemical theory, physical chemistry/chemical physics > Physical chemistry
Physical:Sciences and Engineering > Physical and Analytical Chemical Sciences: Analytical chemistry, chemical theory, physical chemistry/chemical physics > Surface science and nanostructures
Physical:Sciences and Engineering > Physical and Analytical Chemical Sciences: Analytical chemistry, chemical theory, physical chemistry/chemical physics > Chemical physics
Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Software engineering, operating systems, computer languages |
| Department: |
Departments > Dipartimento di Scienze chimiche (DiSC) |
| Depositing User: |
Christian Durante
|
| Date Deposited: |
10 Feb 2025 12:50 |
| Last Modified: |
10 Feb 2025 12:50 |
| Creators/Authors: |
|
| Type of data: |
Code |
| Contributors: |
| Contribution | Name | Email |
|---|
| UNSPECIFIED | Durante, Christian | UNSPECIFIED | | UNSPECIFIED | Cazzadori, Francesco | UNSPECIFIED | | UNSPECIFIED | Facchin, Alessandro | UNSPECIFIED |
|
| Research funder: |
DOR2024 |
| Collection period: |
| From | To |
|---|
| 9 January 2025 | 31 December 2026 |
|
| Resource language: |
python code |
| Metadata language: |
English |
| Publisher: |
Research Data Unipd |
| Date: |
9 February 2025 |
| Copyright holders: |
The Authors |
| URI: |
https://researchdata.cab.unipd.it/id/eprint/1489 |
| Creators/Authors: |
|
| Type of data: |
Code |
| Contributors: |
| Contribution | Name | Email |
|---|
| UNSPECIFIED | Durante, Christian | UNSPECIFIED | | UNSPECIFIED | Cazzadori, Francesco | UNSPECIFIED | | UNSPECIFIED | Facchin, Alessandro | UNSPECIFIED |
|
| Research funder: |
DOR2024 |
| Collection period: |
| From | To |
|---|
| 9 January 2025 | 31 December 2026 |
|
| Resource language: |
python code |
| Metadata language: |
English |
| Publisher: |
Research Data Unipd |
| Date: |
9 February 2025 |
| Copyright holders: |
The Authors |
| Last Modified: |
10 Feb 2025 12:50 |
|
Available Files
Full Archive
orcid.org/0000-0002-8764-1219
