Metadata-Version: 2.1
Name: PhasorPy
Version: 1.0.2
Summary: This is a library to performe phasor analysis in microscopy images
Home-page: https://github.com/bschuty
Author: Bruno Schuty Teske
Author-email: schutyteske@gmail.com
License: MIT
Description: ![Logo](https://github.com/bschuty/PhasorPy/blob/main/Figures/simfcs.png)
        
        # PhasorPy: A Python library for phasor analysis
        
        Time-resolved (FLIM) and hyperspectral imaging (HSI) have become paramount in biomedical science. The power of the combination between traditional imaging and spectroscopy opens the possibility to address information inaccessible before. For bioimaging analysis of these data, the Phasor plots are a tool revolutionizing the field because of their straightforward approach. Thus it is becoming a key player in democratizing access to FLIM and HSI
        
        PhasorPy library is based on SimFCS, a software developed by Enrico Gratton at the Laboratory for Fluorescence Dynamic, University of California, Irvine. PhasorPy is a library for FLIM and HSI data analysis using the phasor approach. The phasor approach was developed as model free method and relies on the fourier transform properties.
        
        
        ## Documentation
        
        [doc](https://github.com/bschuty/PhasorPy/blob/main/README.md)
        
        ### Phasor Analysis 
        Considering an hyperspectral image, the fluorescence spectra at each pixel can be
        transformed in phasor coordinates (G (λ)) and (S (λ)). 
        I(λ) represent the intensity at every wavelength (channel), n is the 
        number of the harmonic and λ i the initial wavelength. The, x and y coordinates 
        are plotted in the spectral phasor plot.
        
        The position for every pixel in the spectral phasor plot can be defined by the phase
        angle and the modulus (M) given the coordinates G and S.
        
        The angular position in the spectral phasor plot relates to the center of mass of 
        the emission spectrum and the modulus depends on the spectrum’s full width at 
        the half maximum (FWHM). For instance, if the spectrum is broad its location 
        should be close to the center. Otherwise, if there is a red shift in the spectrum,
        its location will move counterclockwise toward increasing angle from position
        (1, 0). Spectral phasors have the same vector properties as lifetime phasors. 
        A detailed description of the spectral phasor plot properties can be found in 
        Malacrida et al. 1. 
        
        
        ## Installation
        
        ```bash
          pip install PhasorPy
          conda install PhasorPy
        ```
        
        ## Authors
        
        - [@bschuty](https://www.github.com/bschuty)
        
        
        ## License
        
        [MIT](https://choosealicense.com/licenses/mit/)
        
        
        ## Contributing
        
        Contributions are always very well welcome. The PhasorPy library intends 
        to create an open-source and collaborative community between spectroscopy 
        and fluorescence microscopy users with the same functionalities as SimFCS 
        but accessible and self-sustainable in the long term as other Python 
        libraries and communities. 
        
        
        ## References
        
        [1] Malacrida, L., Gratton, E. & Jameson, D. M. Model-free methods to study 
        membrane environmental probes: A comparison of the spectral phasor and 
        generalized polarization approaches. Methods Appl. Fluoresc. 3, 047001 (2015).
        
        ## Used and maintain By
        
        This project is used and maintain:
        
        - Advance Bioimaging Unit at Institt Pasteur Montevideo and 
          Universidad de la República
        
        
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