LinTan-CSU / DeepMIR

A versatile and accurate component identification method for high-throughput mid-infrared spectra: DeepMIR.

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DeepMIR

There are some codes for the paper DeepMIR: a versatile and accurate component identification method for high-throughput mid-infrared spectra. We developed a method named Deep learning-based library search method for Mid-infrared spectroscopy (DeepMIR). Other methods for comparison in the paper are also presented. Organic solvents datasets are public for example applications.

Requirements

Before running codes on your own computer, make sure you have established an environment required by this project.

Create a Conda environment

conda env create -f requirements.yml -n myenv

Activate the Conda environment

activate myenv

Example

You can see the example.ipynb from the "src" folder for the utilization of DeepMIR. If you want to try the codes on your own computer, please download the whole project and the Organic Solvents dataset from the Releases. Try other sub-datasets based on the example.ipynb.

Web server

A web server of DeepMIR is established. Please refer to the paper for more details.

Contact

LinTan lintan_2000@csu.edu.cn

About

A versatile and accurate component identification method for high-throughput mid-infrared spectra: DeepMIR.

License:MIT License


Languages

Language:Python 61.1%Language:Jupyter Notebook 38.9%