scholarly journals Fluorescence Visualization for Oral Mucosa Using an Auto-fluorescence Imaging Analysis Software

2017 ◽  
Vol 30 (2) ◽  
pp. 168-175
Author(s):  
KEISUKE SUGAHARA ◽  
EIKO FUTOO ◽  
HIROKI BESSHO ◽  
RIYO SEKINE ◽  
KEISUKE OHNO ◽  
...  
Keyword(s):  
Fluorescence Imaging ◽  
Oral Mucosa ◽  
Imaging Analysis ◽  
Analysis Software ◽  
Auto Fluorescence

Tu1474 Usefulness of a Novel Auto-Fluorescence Imaging System With Computer-Assisted Color Analysis for Colorectal Lesions

2013 ◽  
Vol 77 (5) ◽  
pp. AB553
Author(s):  
Hiroko Inomata ◽  
Naoto Tamai ◽  
Daisuke Ide ◽  
Tomohiko R. Ohya ◽  
Hiroyuki Aihara ◽  
...  
Keyword(s):  
Fluorescence Imaging ◽  
Imaging System ◽  
Computer Assisted ◽  
Color Analysis ◽  
Fluorescence Imaging System ◽  
Auto Fluorescence

Functional Imaging Analysis Software — Computational Olio

COMPSTAT ◽  
1996 ◽  
pp. 39-49 ◽  
Author(s):  
William F. Eddy ◽  
Mark Fitzgerald ◽  
Christopher Genovese ◽  
Audris Mockus ◽  
Douglas C. Noll
Keyword(s):  
Functional Imaging ◽  
Imaging Analysis ◽  
Analysis Software

Diagnosis of Gastric Neoplasms by Newly Developed Auto-fluorescence Imaging Video Endoscopy

2004 ◽  
Vol 59 (5) ◽  
pp. P154
Author(s):  
Akihiro Namihisa ◽  
Tatsuo Ogihara ◽  
Akimitsu Ohkawa ◽  
Noritomo Nakaniwa ◽  
Satoshi Abe ◽  
...  
Keyword(s):  
Fluorescence Imaging ◽  
Gastric Neoplasms ◽  
Video Endoscopy ◽  
Auto Fluorescence

scholarly journals Protein enhanced NIR-IIb emission of indocyanine green for functional bioimaging

2020 ◽  
Author(s):  
Mubin He ◽  
Di Wu ◽  
Yuhuang Zhang ◽  
Xiaoxiao Fan ◽  
Hui Lin ◽  
...  
Keyword(s):  
Indocyanine Green ◽  
Fluorescence Imaging ◽  
Clinical Application ◽  
Spatial Resolution ◽  
Near Infrared ◽  
Protein Solutions ◽  
Lymph System ◽  
Fetal Bovine ◽  
Auto Fluorescence

AbstractFluorescence imaging performed in the 1500-1700 nm spectral range (labeled as near-infrared IIb, NIR-IIb) promises high imaging contrast and spatial resolution for its little photon scattering effect and minimum auto-fluorescence. Though inorganic and organic probes have been developed for NIR-IIb bioimaging, most are in preclinical stage, hampering further clinical application. Herein, we showed that indocyanine green (ICG), an US Food and Drug Administration (FDA)-approved agent, exhibited remarkable amount of NIR-IIb emission when dissolved into different protein solutions, including human serum albumin, rat bile, and fetal bovine serum. We performed fluorescence imaging in NIR-IIb window to visualize structures of lymph system, extrahepatic biliary tract and cerebrovascular. Results demonstrated that proteins promoted NIR-IIb emission of ICG in vivo and that NIR-IIb imaging with ICG preserved higher signal-to-background ratio (SBR) and spatial resolution compared with the conventional near-infrared II (NIR-II) fluorescence imaging. Our findings confirm that NIR-IIb fluorescence imaging can be successfully performed using the clinically approved agent ICG. Further clinical application in NIR-IIb region would hopefully be carried out with appropriate ICG-protein solutions.

scholarly journals Trackosome: a computational toolbox to study the spatiotemporal dynamics of centrosomes, nuclear envelope and cellular membrane

2020 ◽  
Author(s):  
Domingos Castro ◽  
Vanessa Nunes ◽  
Joana T. Lima ◽  
Jorge G. Ferreira ◽  
Paulo Aguiar
Keyword(s):  
Nuclear Envelope ◽  
Cellular Membrane ◽  
Spatiotemporal Dynamics ◽  
Imaging Analysis ◽  
Imaging Data ◽  
Analysis Software ◽  
Model Free ◽  
Centrosome Separation ◽  
Efficient Access ◽  
Spatiotemporal Relations

AbstractDuring the initial stages of mitosis, multiple mechanisms drive centrosome separation and positioning. How they are functionally coordinated to promote centrosome migration to opposite sides of the nucleus remains unclear. Imaging analysis software has been used to quantitatively study centrosome dynamics at this stage. However, available tracking tools are generic and not fine-tuned for the constrains and motion dynamics of centrosome pairs. Such generality limits the tracking performance and may require exhaustive optimization of parameters. Here, we present Trackosome, a freely available open-source computational tool to track the centrosomes and reconstruct the nuclear and cellular membranes, based on volumetric live-imaging data. The toolbox runs in MATLAB and provides a graphical user interface for easy and efficient access to the tracking and analysis algorithms. It outputs key metrics describing the spatiotemporal relations between centrosomes, nucleus and cellular membrane. Trackosome can also be used to measure the dynamic fluctuations of the nuclear envelope. A fine description of these fluctuations is important because they are correlated with the mechanical forces exerted on the nucleus by its adjacent cytoskeletal structures. Unlike previous algorithms based on circular/elliptical approximations of the nucleus, Trackosome measures membrane movement in a model-free condition, making it viable for irregularly shaped nuclei. Using Trackosome, we demonstrate significant correlations between the movements of the two centrosomes, and identify specific modes of oscillation of the nuclear envelope. Overall, Trackosome is a powerful tool to help unravel new elements in the spatiotemporal dynamics of subcellular structures.

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