Autofluorescence removal from fluorescence molecular tomography data

2006 ◽  
Author(s):  
Giannis Zacharakis ◽  
Anikitos Garofalakis ◽  
Stelios Psycharakis ◽  
Heiko Meyer ◽  
Clio Mamalaki ◽  
...  
2009 ◽  
Vol 02 (04) ◽  
pp. 353-364 ◽  
Author(s):  
MARIA SIMANTIRAKI ◽  
ROSY FAVICCHIO ◽  
STELIOS PSYCHARAKIS ◽  
GIANNIS ZACHARAKIS ◽  
JORGE RIPOLL

Even though multispectral imaging is considered very significant in biological imaging, it is only commonly used in microscopy in a 2D approach. Here, we present a Fluorescence Molecular Tomography system capable of recording simultaneously tomographic data at several spectral windows, enabling multispectral tomography. 3D reconstructed data from several spectral windows is used to construct a linear unmixing algorithm for multispectral deconvolution of overlapping fluorescence signals. The method is applied on tomographic 3D fluorescence concentration maps in tissue-mimicking phantoms, yielding absolute quantification of the concentration of each individual fluorophore. Results are compared to the case when unmixing is performed in the raw 2D data instead of the reconstructed 3D concentration map, showing greater accuracy when unmixing algorithms are applied in the reconstructed data. Both the reflection and transmission geometries are considered.


Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 108992
Author(s):  
Adriana Machado Malafaia da Mata ◽  
Bruno Furtado de Moura ◽  
Marcio Ferreira Martins ◽  
Francisco Hernán Sepúlveda Palma ◽  
Rogério Ramos

2014 ◽  
Vol 31 (8) ◽  
pp. 1886 ◽  
Author(s):  
Jiulou Zhang ◽  
Junwei Shi ◽  
Xu Cao ◽  
Fei Liu ◽  
Jing Bai ◽  
...  

2019 ◽  
Vol 25 (S2) ◽  
pp. 298-299 ◽  
Author(s):  
Markus Kühbach ◽  
Priyanshu Bajaj ◽  
Andrew Breen ◽  
Eric A. Jägle ◽  
Baptiste Gault

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