USB2000/4000 Spectrometer Python-based Acquisition Tools

Repository Description

This repository contains a collection of Python scripts for acquiring and visualising spectra with Ocean Optics USB2000/USB4000 series spectrometers. All scripts rely on the seabreeze package together with standard scientific Python libraries. The scripts are stored directly in the repository root. Example output folders generated by the live acquisition programs can be found in examples/data/ and are not required for running the code.

Installation

1. Install the required packages. The scripts use numpy, pyqtgraph, PySide6 (for the Qt interface) and matplotlib for plotting. Use pip to install them:

bash pip install seabreeze numpy pyqtgraph PySide6 matplotlib

1. On macOS you may need administrator privileges when accessing the spectrometer. The original example suggests running the scripts with sudo if necessary.

Overview of Scripts

spec.py

A minimal command‑line program that acquires a single averaged spectrum and saves it to usb2000_spectrum.tsv. Important parts are:

• Requirements listed in the header comment(lines 1-6).
• Acquisition loop that averages several spectra, applies boxcar smoothing and finally stores the result as tab‑separated values(lines 49-67).

The saved file contains two columns named wavelength_nm and intensity_counts. A plot of the spectrum is displayed using matplotlib. The variables integ_ms, n_average, dark_correct and boxcar_px at the beginning of the main() function can be edited to change the integration time, number of averaged frames, dark subtraction and smoothing. boxcar_px specifies the half-width of the boxcar smoothing window in pixels. A value of n averages over 2n + 1 neighbouring samples.

speclive.py

Graphical user interface that shows a live spectrum with a 1 s refresh rate. It uses pyqtgraph and runs a timer to periodically read the instrument. Highlights from the source include:

• Docstring describing its purpose and how to run it(lines 1-8).
• Acquisition routine which averages several readings and updates the plot accordingly(lines 60-76).

The acquisition parameters integ_ms, n_avg and boxcar_px at the top of the LiveSpectrum class can be modified to change integration time, frame averaging and smoothing.

Close events are handled so that the spectrometer is properly released.

speclive2.py

A faster variant of the live viewer refreshing every 100 ms. The display can be paused or resumed by pressing the space bar. Key elements are:

• Introductory documentation that lists its dependencies(lines 1-5).
• Use of QtWidgets.QShortcut to toggle acquisition with the space key while the timer runs at 10 Hz(lines 41-55).

Adjustable variables include REFRESH_MS for the update period as well as integ_ms, n_avg and boxcar_px which set the integration time, averaging and smoothing.

speclive3.py

Extends the live view by adding a “CCD strip” representation below the plot. Each pixel is coloured according to its wavelength. The script again refreshes at 100 ms and allows pausing with the space key.

• The beginning of the script provides a utility that converts wavelengths into RGB values for the strip image(lines 15-36).
• The update_frame method builds this coloured line from the latest intensities and displays it under the graph(lines 88-110).

Hot‑key SPACE pauses/resumes the display. Acquisition parameters such as REFRESH_MS, integ_ms and the boxcar smoothing width can be tweaked at the start of the script.

speclive4.py

Most feature‑rich interface combining the live plot and CCD strip with several keyboard shortcuts and export functions.

• The docstring enumerates the available hot‑keys, including saving the data and screenshots(lines 1-9).
• During startup a cross‑hair cursor is created and mouse movements update the displayed wavelength and intensity in the status bar(lines 50-116).
• Functions save_csv, save_png and save_all allow exporting the current spectrum in different formats, optionally creating a time‑stamped folder with both CSV and PNG files(lines 120-152).

Hot‑keys are: SPACE to pause/resume, C to save a CSV file, P to save PNG images of the plot and CCD strip, and S to save both formats in a new folder. Acquisition parameters (REFRESH_MS, integ_ms) and smoothing width can be adjusted near the top of the script before running it.

Usage

Run any of the scripts with Python after connecting a compatible spectrometer. For example:

bash python spec.py # acquire and save a single averaged spectrum python speclive.py # basic 1 Hz live viewer python speclive2.py # fast 100 ms display with start/stop python speclive3.py # live view with coloured CCD strip python speclive4.py # advanced viewer with export options

Close the windows normally to ensure the device connection is closed.

License

This repository is distributed under the MIT License. Copyright © 2025 Nicolò Bagnasco. For questions or collaboration opportunities please contact nicolo.bagnasco@seds.it.