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A deep-learning program, called fast fluorescent identification network (FFI-Net), is designed to fast identify the fluorescent components in the single 3D-EEM spectrum.

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FFI-Net

A deep-learning program, called fast fluorescent identification network (FFI-Net), is designed to fast identify the fluorescent components in the single 3D-EEM spectrum.


Requirements

  1. Create Anaconda environment with python 3.7 in Anaconda prompt:

conda create -n py3.7 python=3.7

  1. Activate the py3.7 environment:

conda activate py3.7

  1. Install other requirements:

tensorflow 2.2.0:

pip install tensorflow==2.2.0

keras 2.3.1:

pip install keras==2.3.1

matplotlib 3.3.4:

pip install matplotlib

pandas 1.2.3:

pip install pandas

openpyxl 3.0.7:

pip install openpyxl

sikit-learn 0.24.1:

pip install scikit-learn

PyQt5 5.15.4:

pip install pyqt5

PyQt5-tools 5.15.2:

pip install PyQt5-tools

  1. Set environmental variable of PyQt5-tools and environmental path of PyQt5

Model

Please read FFI-Net V1.0 manual before using the sorftware.

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A deep-learning program, called fast fluorescent identification network (FFI-Net), is designed to fast identify the fluorescent components in the single 3D-EEM spectrum.

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