Edmund Optics^®

Multiphoton microscopy is ideal for capturing high-resolution 3D images with reduced photobleaching and phototoxicity compared to confocal microscopy.

Ultrafast highly-dispersive mirrors are critical for pulse compression and dispersion compensation in ultrafast laser applications, improving system performance.

The short pulse durations of ultrafast lasers make them interact with optical components differently, impacting the optic’s laser damage threshold.

The short pulse durations of ultrafast lasers lead to broad wavelength bandwidths, making ultrafast systems especially susceptible to dispersion and pulse broadening.

Understanding the most common laser sources, modes of operation, and gain media provides the context for selecting the proper laser for your specific application.

Laser induced damage threshold (LIDT) of optics is a statistical value influenced by defect density, the testing method, and fluctuations in the laser.

Lasers can be used for a variety of applications. Learn how lasers work, different elements, and the differences between laser types at Edmund Optics.

Laser induced damage threshold (LIDT) denotes the maximum laser fluence an optical component can withstand with an acceptable amount of risk.

Le diamètre d'un laser affecte fortement le seuil de dommage induits par le laser (LIDT) d'un composant optique, car le diamètre du faisceau influence directement la probabilité qu’un endommagement induit par le laser se produise.

Dispersion is the dependence of the phase velocity or phase delay of light on another parameter, such as wavelength, propagation mode, or polarization.

Learn why the bulk laser-induced damage threshold (LIDT) of glass is significantly different than the LIDT optical components with coatings, such as AR thin films.

The LIDT of continuous wave (CW) lasers is dependent on laser power, beam diameter, and other use parameters.

Testing laser induced damage threshold (LIDT) is not standardized, so understanding how your optics were tested is critical for predicting performance.