Spatially resolved lifetime imaging of silicon wafers by measurement of infrared emission

2003 ◽  
Vol 94 (6) ◽  
pp. 4139-4143 ◽  
Author(s):  
Martin C. Schubert ◽  
Joerg Isenberg ◽  
Wilhelm Warta
Keyword(s):  
Infrared Emission ◽  
Silicon Wafers ◽  
Lifetime Imaging ◽  
Spatially Resolved

Spatially Resolved Absorptance of Silicon Wafers From Photoluminescence Imaging

2015 ◽  
Vol 5 (6) ◽  
pp. 1840-1843 ◽  
Author(s):  
Mattias Klaus Juhl ◽  
Thorsten Trupke ◽  
Malcolm Abbott ◽  
Bernhard Mitchell
Keyword(s):  
Silicon Wafers ◽  
Spatially Resolved

scholarly journals Fast fit-free analysis of fluorescence lifetime imaging via deep learning

2019 ◽  
Vol 116 (48) ◽  
pp. 24019-24030 ◽  
Author(s):  
Jason T. Smith ◽  
Ruoyang Yao ◽  
Nattawut Sinsuebphon ◽  
Alena Rudkouskaya ◽  
Nathan Un ◽  
...  
Keyword(s):  
Deep Learning ◽  
Fluorescence Lifetime ◽  
Near Infrared ◽  
Quantitative Information ◽  
Fluorescence Lifetime Imaging ◽  
Complex Data ◽  
Lifetime Imaging ◽  
Spatially Resolved ◽  
Lifetime Studies ◽  
Net Framework

Fluorescence 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 fit-free approach in FLI image formation that is based on deep learning (DL) to quantify fluorescence decays simultaneously over a whole image and at fast speeds. We report on a deep neural network (DNN) architecture, named fluorescence lifetime imaging network (FLI-Net) that is designed and trained for different classes of experiments, including visible FLI and near-infrared (NIR) FLI microscopy (FLIM) and NIR gated macroscopy FLI (MFLI). FLI-Net outputs quantitatively the spatially resolved lifetime-based parameters that are typically employed in the field. We validate the utility of the FLI-Net framework by performing quantitative microscopic and preclinical lifetime-based studies across the visible and NIR spectra, as well as across the 2 main data acquisition technologies. These results demonstrate that FLI-Net is well suited to accurately quantify complex fluorescence lifetimes in cells and, in real time, in intact animals without any parameter settings. Hence, FLI-Net paves the way to reproducible and quantitative lifetime studies at unprecedented speeds, for improved dissemination and impact of FLI in many important biomedical applications ranging from fundamental discoveries in molecular and cellular biology to clinical translation.

Observations of the photochemical evolution of carbonaceous macromolecules in star-forming regions

2019 ◽  
Vol 15 (S350) ◽  
pp. 21-24
Author(s):  
Olivier Berné
Keyword(s):  
Physical Mechanism ◽  
Infrared Emission ◽  
Physical Processes ◽  
Star Forming ◽  
Spatially Resolved ◽  
Star Forming Regions ◽  
Polycyclic Aromatic ◽  
Chemical Studies ◽  
Quantum Chemical Studies ◽  
Experimental And Theoretical Studies

AbstractThe goal of this contribution is to illustrate how spatially resolved spectroscopic observations of the infrared emission of UV irradiated regions, from star forming regions to the diffuse ISM, can be used to rationalize the chemical evolution of carbonaceous macromolecules in space, with the help of astrophysical models. For instance, observations with the Spitzer space telescope lead to the idea that fullerenes (including C60 can form top-down from Polycyclic Aromatic Hydrocarbons in the interstellar medium. The possibility that this process can occur in space was tested using a photochemical model which includes the key molecular parameters derived from experimental and theoretical studies. This approach allows to test the likelihood that the proposed path is realistic, but, more importantly, it allows to isolate the key physical processes and parameters that are required to capture correctly the evolution of carbonaceous molecules in space. In this specific case, we found that relaxation through thermally excited electronic states (a physical mechanism that is largely unexplored, except by few a teams) is one of the keys to model the photochemistry of the considered species. Subsequent quantum chemical studies stimulated by the (limited) astrophysical model showed that a detailed mapping of the energetics of isomerization and de-hydrogenation is necessary to understand the competition between these processes in space.Such approaches, involving experimentalists and theoreticians, are particularly promising in the context of the upcoming JWST mission, which will provide access to the signatures of carbonaceous species in emission and in absorption at an angular resolution that will enable to reach new chemical frontiers in star and even in planet forming regions.

Photoluminescence-Based Spatially Resolved Temperature Coefficient Maps of Silicon Wafers and Solar Cells

2020 ◽  
Vol 10 (2) ◽  
pp. 585-594 ◽  
Author(s):  
Shuai Nie ◽  
Sissel Tind Kristensen ◽  
Alexander Gu ◽  
Robert Lee Chin ◽  
Thorsten Trupke ◽  
...  
Keyword(s):  
Solar Cells ◽  
Temperature Coefficient ◽  
Silicon Wafers ◽  
Spatially Resolved

Combined dynamic and steady-state infrared camera based carrier lifetime imaging of silicon wafers

2009 ◽  
Vol 106 (11) ◽  
pp. 114506 ◽  
Author(s):  
Klaus Ramspeck ◽  
Karsten Bothe ◽  
Jan Schmidt ◽  
Rolf Brendel
Keyword(s):  
Steady State ◽  
Carrier Lifetime ◽  
Infrared Camera ◽  
Silicon Wafers ◽  
Lifetime Imaging

scholarly journals Rare-earth-doped fluoride nanoparticles with engineered long luminescence lifetime for time-gated in vivo optical imaging in the second biological window

Nanoscale ◽  
2018 ◽  
Vol 10 (37) ◽  
pp. 17771-17780 ◽  
Author(s):  
Meiling Tan ◽  
Blanca del Rosal ◽  
Yuqi Zhang ◽  
Emma Martín Rodríguez ◽  
Jie Hu ◽  
...  
Keyword(s):  
Rare Earth ◽  
Optical Imaging ◽  
Infrared Emission ◽  
Luminescence Lifetime ◽  
Lifetime Imaging ◽  
Long Lifetime ◽  
In Vivo Optical Imaging ◽  
Rare Earth Doped ◽  
Fluoride Nanoparticles

We report on rare-earth-doped fluoride nanoparticles with a long lifetime and intense infrared emission in the second biological window for in vivo luminescence lifetime imaging.

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