Programming
Introduction
Most work in the Biophysics group is done with help of Matlab (Experiments, data manipulation, graphics). Software for embedded systems like Arduino's and Raspberry Pi's are mostly written in C++. Tucker Davis equipment like the RZ6 have their own graphical programming system.
Best practices
When programming one of the first things you have to consider is how your program will be used.
- Will other people use the program?
- Will it be used for a long time?
- Will it be used for science?
- Do other people need to understand or be able to edit your code?
- Do you anticipate changes in the future?
If you can answer one of these questions with yes you should use best programming practices
- Use proper code indentation
- Use meaningful names
- Use comments that add context
- Don’t use the same lines of code more than once
- Be sparse with nesting
- Use refactoring of larger pieces of code
- Make room for ample testing
Your code is worthless if you are the only one who can understand it.
Good coding needs effort, patience, discipline and courage to rethink.
Matlab
The experiment computers in the labs are all windows computers. Most of the experimental programs running on these computers are written in Matlab.
The Matlab IDE gets updated almost every year. Different experimental computers and your own computer will probably run different version of Matlab. Most of the programs will be compatible, but user interfaces often not. On Gitlab we have several libraries for experiments and data manipulation.
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Installation
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License
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Software
Software is available on gitlab. You can sign in here https://gitlab.science.ru.nl/users/sign_in. The following repositories are available:
Biofysica
Contains software for experiments with sound localization, for analyzing fast eye and head movements, for Bayesian data analysis, for interfacing with TDT devices, LSL devices, Led controllers, BIOX and other utilities.
Matrix
Contains MATLAB code for the program Matrixtest, which is a program for word recognition experiments with noise and vocoder options.
fNIRS
For analysis of NIRS measurements.
Programming Embedded Systems
Embedded systems are devices that have their own CPU and run their own software. Examples are: Arduino, Raspberry Pi or a digital sound processor (DSP) like the RZ6.
Digital sound processor (DSP)
Within the Biophysics group the most used DSP is the RZ6 of Tucker Davis. Also the older RP2.1 and the Medusa RA16 base station are still in use. These are programmed in the RPvdsEx IDE. For the RZ6 we have BIOX, which is a RPvdsEx file with an Matlab toolbox.
Sometimes MOTU DSP's are used (MOTU Ultra Lite MK3, MOTU Ultra Lite MK5). They are also called audio interface.
Other embedded systems
Some devices have embedded systems like arduino, ESP32 and raspberry Pi's.
Examples are:
Arduino
Arduino is an Italian open-source hardware and software company, project, and user community that designs and manufactures single-board microcontrollers and microcontroller kits for building digital devices.
Arduino devices (or compatible embedded CPU's) are programmed with the Arduino IDE. The programming language is C++.
For questions about Arduino programming ask Ruurd Lof
ESP32
ESP32 is a family of system on a chip devices developed by Espressif Systems. Some of these devices can be programmed with the Arduino IDE.
For questions about ESP32 programming ask Ruurd Lof
Raspberry Pi
Raspberry Pi is a series of small single-board computers (SBCs) developed in the United Kingdom by the Raspberry Pi Foundation in association with Broadcom.
For questions about Raspberry Pi programming ask Günter Windau