summaryrefslogtreecommitdiff
path: root/posts/instrumental-software.md
blob: 19a4f9275403b39443693be327e1260951174929 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
title: instrumental-software
date: 2020-05-23

This post is a roundup of open source instrumental software projects that I know of.
I've organized them alphabetically.
I have some minimal notes on a few projects here, but mostly this is just a "roundup" page.

# table of contents

[TOC]

# EPICS

# Exopy

[website](http://exopy.readthedocs.io/)

[source](https://github.com/Exopy/exopy)

Quote:
Exopy is a versatile data acquisition software.
It provides an extensible set of tools to describe an perform data acquisition.
Each measurement is described by a hierarchical structure, allowing simple nested loops structure and more complex ones involving multiple non nested loops and conditions.
The hierarchy is edited through a Graphical User Interface, allowing a smooth learning curve.

# bluesky

[bluesky](https://blueskyproject.io/)

Bluesky is a project made up of several other projects

## ophyd

## bluesky-ui

# Instrbuilder

integrates with ophyd / bluesky project.

# Instrumental

[website](https://instrumental-lib.readthedocs.io/)

Quote:
Instrumental is a Python-based library for controlling lab hardware like cameras, DAQs, oscilloscopes, spectrometers, and more. It has high-level drivers for instruments from NI, Tektronix, Thorlabs, PCO, Photometrics, Burleigh, and others.

# Lantz

[website](https://lantz.readthedocs.io/)

Simple yet powerful instrumentation in Python

# micro-manager

[website](https://micro-manager.org/)

A really cool project.
Check out the [whitepaper](https://github.com/nicost/uScopeControl/blob/master/Software%20for%20Microscopy%20Workshop%20WhitePaper.pdf) and their [CMMCore Class Reference](https://valelab4.ucsf.edu/~MM/doc/MMCore/html/class_c_m_m_core.html).

# PyCMDS

(personal project)

# PyDM

[project webpage](http://slaclab.github.io/pydm/)

Python display manager.
PyDM is a PyQt-based framework for building user interfaces for control systems.
The goal is to provide a no-code, drag-and-drop system to make simple screens, as well as a straightforward python framework to build complex applications.

# Py-Hardware-Support

[website](https://ddietze.github.io/Py-Hardware-Support/index.html)

Here’s a small collection of some python modules that can be used to add hardware support to your programs.
I have written those to be easy to use but not necessarily covering all the functionality the library or device has to offer.

# python-microscopy

[website](http://www.python-microscopy.org/)

Quote:
python-microscopy is a large package including a farily mature microscope control GUI as well as a lot of functionality for analysis and postprocessing of microscopy data, especially for single molecule localization experiments.

# Qcodes

[website](http://qcodes.github.io/Qcodes/index.html)

[source](https://github.com/QCoDeS/Qcodes)

Qcodes is a Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium.

The goal is a common framework for physics experiments, so:
- new students don’t need to spend a long time learning software in order to participate in experiments
- one has to write their own code only for pieces that are very specific to their own experiment
- code can and should be contributed back to the framework
- the process of moving between teams or labs, and of setting up a new experiment is streamlined
- physics experiments can take advantage of modern software and best practices

# Qudi

[website](https://ulm-iqo.github.io/qudi-generated-docs/html-docs/index.html)

# ScopeFoundry

[website](http://www.scopefoundry.org/)

Quote:
A Python platform for controlling custom laboratory experiments and visualizing scientific data.

# SFGacquisition

[source](https://github.com/GeigerGroup/SFGacquisition)

Software for interfacing with WinSpec/Lightfield and WinTOPAS as well as Thorlabs motorized optic mounts to control SFG spectral acquisitions at multiple DFG positions.

# storm-control

[source](https://github.com/ZhuangLab/storm-control)

Quote:
storm-control was originally designed for acquiring single molecule localization microscopy data in a manual or semi-automated fashion.
At a later point the ability to collect MERFISH data was added.

# yaq

(personal project)