Multifocal Multiphoton Fluorescence Lifetime Microscopy for Biomedical Applications

2005 ◽  
Author(s):  
Ariane Deniset ◽  
Sandrine Lévêque-Fort ◽  
Marie-Pierre Fontaine-Aupart ◽  
Gérard Roger ◽  
Patrick Georges
Keyword(s):  
Fluorescence Lifetime ◽  
Biomedical Applications

Multifocal multiphoton fluorescence lifetime microscopy for biomedical applications

2005 ◽  
Author(s):  
A. Deniset ◽  
S. Leveque-Fort ◽  
M. P. Fontaine-Aupart ◽  
G. Roger ◽  
P. Georges
Keyword(s):  
Fluorescence Lifetime ◽  
Biomedical Applications

Fluorescence-lifetime-based sensors: oxygen sensing and other biomedical applications

1996 ◽  
Author(s):  
Lisa Randers-Eichhorn ◽  
Roscoe A. Bartlett ◽  
Jeffrey Sipior ◽  
Douglas D. Frey ◽  
Gary M. Carter ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Biomedical Applications ◽  
Oxygen Sensing

scholarly journals Ultra-fast fit-free analysis of complex fluorescence lifetime imaging via deep learning

2019 ◽  
Author(s):  
Jason T. Smith ◽  
Ruoyang Yao ◽  
Nattawut Sinsuebphon ◽  
Alena Rudkouskaya ◽  
Joseph Mazurkiewicz ◽  
...  
Keyword(s):  
Deep Learning ◽  
Fluorescence Lifetime ◽  
Biomedical Applications ◽  
Quantitative Information ◽  
Clinical Settings ◽  
Fluorescence Lifetime Imaging ◽  
Complex Data ◽  
Lifetime Imaging ◽  
Lifetime Studies ◽  
Quantities Of Interest

AbstractFluorescence lifetime imaging (FLI) provides unique quantitative information in biomedical and molecular biology studies, but relies on complex data fitting techniques to derive the quantities of interest. Herein, we propose a novel fit-free approach in FLI image formation that is based on Deep Learning (DL) to quantify complex fluorescence decays simultaneously over a whole image and at ultra-fast speeds. Our deep neural network (DNN), named FLI-Net, is designed and model-based trained to provide all lifetime-based parameters that are typically employed in the field. We demonstrate the accuracy and generalizability of FLI-Net by performing quantitative microscopic and preclinical experimental lifetime-based studies across the visible and NIR spectra, as well as across the two main data acquisition technologies. Our results demonstrate that FLI-Net is well suited to quantify complex fluorescence lifetimes, accurately, in real time in cells and intact animals without any parameter settings. Hence, it paves the way to reproducible and quantitative lifetime studies at unprecedented speeds, for improved dissemination and impact of FLI in many important biomedical applications, especially in clinical settings.

Biomedical Applications of Fluorescence Lifetime Imaging

2002 ◽  
Vol 13 (11) ◽  
pp. 26 ◽  
Author(s):  
Dan Elson ◽  
Stephen Webb ◽  
Jan Siegel ◽  
Klaus Suhling ◽  
Dan Davis ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Biomedical Applications ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging

High resolution time-domain fluorescence lifetime imaging for biomedical applications

1999 ◽  
Vol 46 (2) ◽  
pp. 199-209 ◽  
Author(s):  
K. Dowling ◽  
M. J. Dayel ◽  
S. C. W. Hyde ◽  
P. M. W. French ◽  
M. J. Lever ◽  
...  
Keyword(s):  
High Resolution ◽  
Fluorescence Lifetime ◽  
Time Domain ◽  
Biomedical Applications ◽  
Fluorescence Lifetime Imaging ◽  
Resolution Time ◽  
Lifetime Imaging

Fluorescence lifetime imaging with picosecond resolution for biomedical applications

1998 ◽  
Vol 23 (10) ◽  
pp. 810 ◽  
Author(s):  
K. Dowling ◽  
M. J. Dayel ◽  
M. J. Lever ◽  
P. M. W. French ◽  
J. D. Hares ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Biomedical Applications ◽  
Fluorescence Lifetime Imaging ◽  
Lifetime Imaging

Applications of Scanning Microscopy in Biomedical Research

1968 ◽  
Vol 26 ◽  
pp. 354-355
Author(s):  
T. L. Hayes
Keyword(s):  
Information Content ◽  
Biomedical Research ◽  
Biomedical Applications ◽  
Three Dimensional ◽  
Dental Enamel ◽  
Resolving Power ◽  
Whole Mount ◽  
Two Parameters ◽  
Content Information ◽  
Sectioned Tissue

Biomedical applications of the scanning electron microscope (SEM) have increased in number quite rapidly over the last several years. Studies have been made of cells, whole mount tissue, sectioned tissue, particles, human chromosomes, microorganisms, dental enamel and skeletal material. Many of the advantages of using this instrument for such investigations come from its ability to produce images that are high in information content. Information about the chemical make-up of the specimen, its electrical properties and its three dimensional architecture all may be represented in such images. Since the biological system is distinctive in its chemistry and often spatially scaled to the resolving power of the SEM, these images are particularly useful in biomedical research.In any form of microscopy there are two parameters that together determine the usefulness of the image. One parameter is the size of the volume being studied or resolving power of the instrument and the other is the amount of information about this volume that is displayed in the image. Both parameters are important in describing the performance of a microscope. The light microscope image, for example, is rich in information content (chemical, spatial, living specimen, etc.) but is very limited in resolving power.

Sign in / Sign up

Export Citation Format

Share Document