Optics textbook

Study notebook used in an undergraduate optics course taught at Université Laval. Written by D. C. Côté.

Raytracing Python Module

This code aims to provide a simple ray tracing module for calculating various properties of optical paths (object, image, aperture stops, field stops). It makes use of ABCD matrices and does not consider aberrations (spherical or chromatic). Since it uses the ABCD formalism (or Ray matrices, or Gauss matrices) it can perform tracing of rays and gaussian laser beams. The documentation is accessible here and on the GitHub page

The code has been developed first for teaching purposes and is used in the “Optique” Study Notes (see above), but also for actual use in the DCClab research. As of January 21st, 2021, there is an extensive, freely accessible tutorial in Journal of Neurophotonics:

V. Pineau Noël, S. Masoumi, E. Parham, G. Genest, L. Bégin, M.-A. Vigneault, D. C. Côté,. "Tools and tutorial on practical ray tracing for microscopy". Neurophotonics, 8(1), 010801 (2021). https://doi.org/10.1117/1.NPh.8.1.010801

Tissue optics Python code

This is an extremely simple object-oriented code in Python that simulates the propagation of light in scattering tissue using Monte Carlo.

HOWTO: Stop the Madness (Shortcuts)

Le canal “HOWTO Stop the Madness” contient des tutoriels pour simplifier votre vie de membre de la communauté Université Laval sur macOS.

Lien vers le Shortcut pour copier-coller le token 2FA
Lien vers le Shortcut pour copier seulement le token 2FA
Lien pour copier votre URL Zoom personnel (ou autre)

Axon segmentation code

This work aims to segment axon and myelin from microscopy images (for example, CARS images). It is written in MATLAB language. The code is accessible on the GitHub page

S. Bégin, O. Dupont-Therrien, E. Bélanger, A. Daradich, S. Laffray, Y. De Koninck, and D. Côté, “Automated method for the segmentation and morphometry of nerve fibers in large-scale CARS images of spinal cord tissue". Biomedical Optics Express, vol. 5, no. 12, pp. 4145–4161 (2014).

List of fluorophores

Fluorophore properties are often difficult to find. We have compiled a (hopefully) useful list of published properties for various fluorophores.

Slides on video-rate microscopy and biological imaging of thick tissues

Slides presented by D. C. Côté during the 2022 Neurophotonics Summer School.