Tutorials

In this section, different code snippets are provided to illustrate how to use some of the main features of raman, including data loading, preprocessing and analysis, and visualisation.

Data containers

Storing generic data

Storing generic data

Storing spectra

Storing spectra

Storing imaging data

Storing imaging data

Storing volumetric data

Storing volumetric data

Data loading

Loading WITec data

Loading WITec data

Loading Renishaw data

Loading Renishaw data

Loading Ocean Insight data

Loading Ocean Insight data

Loading other data

Loading other data

Datasets and metrics

Loading the RRUFF dataset

Loading the RRUFF dataset

Loading the Bacteria dataset

Loading the Bacteria dataset

Using built-in metrics

Using built-in metrics

Data visualisation

Visualising spectra

Visualising spectra

Visualising peaks

Visualising peaks

Visualising spectral distributions

Visualising spectral distributions

Visualising imaging data

Visualising imaging data

Visualising volumetric data

Visualising volumetric data

Visualising peak distributions

Visualising peak distributions

Customising plots

Customising plots

Preprocessing

Built-in methods

Built-in methods

Custom methods

Custom methods

Custom pipelines

Custom pipelines

Built-in protocols

Built-in protocols

Analysis

Built-in decomposition methods

Built-in decomposition methods

Built-in clustering methods

Built-in clustering methods

Built-in unmixing methods

Built-in unmixing methods

Integrative analysis: Support Vector Machine (SVM) classification

Integrative analysis: Support Vector Machine (SVM) classification

Integrative analysis: Neural Network (NN) classification

Integrative analysis: Neural Network (NN) classification

Synthetic data generation

Generate synthetic spectra

Generate synthetic spectra