Quantitative Dynamic Multicompartmental Analysis of Cholecystokinin Receptor Movement in a Living Cell Using Dual Fluorophores and Reconstruction of Confocal Images

1997 ◽  
Vol 247 (2) ◽  
pp. 210-215 ◽  
Author(s):  
William Y. Go ◽  
Belinda F. Roettger ◽  
Eileen L. Holicky ◽  
Elizabeth M. Hadac ◽  
Laurence J. Miller
Keyword(s):  
Living Cell ◽  
Cholecystokinin Receptor ◽  
Multicompartmental Analysis ◽  
Confocal Images

Solving the mechanisms responsible for organelle behavior in vivo by same-cell correlative light and electron microscopy

1992 ◽  
Vol 50 (1) ◽  
pp. 14-15
Author(s):  
Conly L. Rieder
Keyword(s):  
Electron Microscopy ◽  
Quantitative Analysis ◽  
Light Microscopy ◽  
Living Cell ◽  
Light And Electron Microscopy ◽  
Time Behavior ◽  
Dynamic Interactions ◽  
Positive Identification ◽  
Cellular Components

The behavior of many cellular components, and their dynamic interactions, can be characterized in the living cell with considerable spatial and temporal resolution by video-enhanced light microscopy (video-LM). Indeed, under the appropriate conditions video-LM can be used to determine the real-time behavior of organelles ≤ 25-nm in diameter (e.g., individual microtubules—see). However, when pushed to its limit the structures and components observed within the cell by video-LM cannot be resolved nor necessarily even identified, only detected. Positive identification and a quantitative analysis often requires the corresponding electron microcopy (EM).

Three-dimensional image analysis and visualization in confocal light microscopy

1993 ◽  
Vol 51 ◽  
pp. 158-159
Author(s):  
J. K. Samarabandu ◽  
R. Acharya ◽  
D. R. Pareddy ◽  
P. C. Cheng
Keyword(s):  
Depth Perception ◽  
Computer Graphic ◽  
Three Dimensional ◽  
Cellular Organization ◽  
Data Set ◽  
Computational Burden ◽  
Interactive Operation ◽  
Cell Organization ◽  
Confocal Images ◽  
3D Digitization

In the study of cell organization in a maize meristem, direct viewing of confocal optical sections in 3D (by means of 3D projection of the volumetric data set, Figure 1) becomes very difficult and confusing because of the large number of nucleus involved. Numerical description of the cellular organization (e.g. position, size and orientation of each structure) and computer graphic presentation are some of the solutions to effectively study the structure of such a complex system. An attempt at data-reduction by means of manually contouring cell nucleus in 3D was reported (Summers et al., 1990). Apart from being labour intensive, this 3D digitization technique suffers from the inaccuracies of manual 3D tracing related to the depth perception of the operator. However, it does demonstrate that reducing stack of confocal images to a 3D graphic representation helps to visualize and analyze complex tissues (Figure 2). This procedure also significantly reduce computational burden in an interactive operation.

Optical and Electrical Interfacing Technologies for Living Cell Bio-Chips

2010 ◽  
Vol 11 (4) ◽  
pp. 376-383 ◽  
Author(s):  
Y. Shacham-Diamand ◽  
S. Belkin ◽  
J. Rishpon ◽  
T. Elad ◽  
S. Melamed ◽  
...  
Keyword(s):  
Living Cell

scholarly journals Control of cholecystokinin receptor dephosphorylation in pancreatic acinar cells

1993 ◽  
Vol 268 (16) ◽  
pp. 12136-12142
Author(s):  
M.P. Lutz ◽  
D.I. Pinon ◽  
L.K. Gates ◽  
S. Shenolikar ◽  
L.J. Miller
Keyword(s):  
Acinar Cells ◽  
Pancreatic Acinar Cells ◽  
Cholecystokinin Receptor

An Integrated Electrochemical Nanodevice for Intracellular RNA Collection and Detection in Single Living Cell

2020 ◽  
Author(s):  
Hai-Yan Wang ◽  
Yi-Fan Ruan ◽  
Li-Bang Zhu ◽  
Xiao-Mei Shi ◽  
Wei-Wei Zhao ◽  
...  
Keyword(s):  
Living Cell ◽  
Single Living Cell ◽  
Single Living

Explainable Fully Connected Visual Words for the Classification of Skin Cancer Confocal Images

2020 ◽  
Author(s):  
Athanasios Kallipolitis ◽  
Alexandros Stratigos ◽  
Alexios Zarras ◽  
Ilias Maglogiannis
Keyword(s):  
Skin Cancer ◽  
Visual Words ◽  
Confocal Images ◽  
Fully Connected
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