PCCRTer

PCCRTer is a software tool designed for the analysis of pulsed coherent Raman scattering (C2RS) microscopy data. This type of microscopy provides vibrational spectroscopic information with high spatial resolution, enabling the study of molecular composition in various samples. PCCRTer assists researchers in processing and interpreting the complex datasets generated by C2RS experiments.

The primary functions of PCCRTer include data preprocessing, spectral unmixing, and quantitative analysis. It can handle raw data from C2RS instruments, applying algorithms to correct for noise, baseline drifts, and other experimental artifacts. Spectral unmixing algorithms within PCCRTer aim to deconvolute overlapping spectral signatures, allowing for the identification and quantification of individual molecular components within a sample. This is particularly useful in complex biological or material science samples where multiple species may be present.

The software is often used in conjunction with other imaging and spectroscopic techniques. Its development is driven by the need for robust and user-friendly tools to extract meaningful insights from C2RS microscopy, a technique gaining traction in fields such as biomedical imaging, materials science, and chemical analysis. The goal is to make the advanced capabilities of C2RS more accessible to a broader research community.