scholarly journals Topological reconstruction of sub-cellular motion with Ensemble Kalman velocimetry

2020 ◽  
Vol 2 (2) ◽  
pp. 101-121
Author(s):  
Le Yin ◽  
◽  
Ioannis Sgouralis ◽  
Vasileios Maroulas ◽  
Keyword(s):  
Cellular Motion

Dance, Cellular Motion, and Computer Analysis: An Interview with David Soll

1990 ◽  
Vol 34 (4) ◽  
pp. 45
Author(s):  
Bruce Wheaton ◽  
David Soll
Keyword(s):  
Computer Analysis ◽  
Cellular Motion

Shimmering holograms and cellular motion in osteogenic tumors

2003 ◽  
Author(s):  
David D. Nolte ◽  
Ping Yu ◽  
Michael R. Melloch ◽  
John J. Turek
Keyword(s):  
Cellular Motion

Cracking Cellular Motion

2011 ◽  
Vol 99 (1) ◽  
pp. 28
Author(s):  
Catherine Clabby
Keyword(s):  
Cellular Motion

scholarly journals The ECM Moves during Primitive Streak Formation—Computation of ECM Versus Cellular Motion

PLoS Biology ◽  
2008 ◽  
Vol 6 (10) ◽  
pp. e247 ◽  
Author(s):  
Evan A Zamir ◽  
Brenda J Rongish ◽  
Charles D Little
Keyword(s):  
Primitive Streak ◽  
Cellular Motion

On the occurrence of cellular motion in Bénard convection

1967 ◽  
Vol 30 (4) ◽  
pp. 651-661 ◽  
Author(s):  
E. Palm ◽  
T. Ellingsen ◽  
B. Gjevik
Keyword(s):  
Kinematic Viscosity ◽  
Silicone Oil ◽  
Fluid Layer ◽  
Critical Value ◽  
Free Boundaries ◽  
Bénard Convection ◽  
Benard Convection ◽  
Rayleigh Numbers ◽  
Effect Of Surface ◽  
Cellular Motion

The interval of Rayleigh numbers in Bénard convection corresponding to cellular motion is determined in the case of free-free boundaries, rigid-free boundaries and rigid-rigid boundaries, taking into account the variation of the kinematic viscosity with temperature. Neglecting the effect of surface tension, it is shown that this interval is largest for the rigid-rigid case. The most important feature from the obtained formula (6.1) is, however, that the interval is extremely dependent on the depth of the fluid layer. To obtain a cellular pattern it is therefore necessary to have very small fluid depths. For example, with Silicone oil and a fluid depth of 7 mm, cellular motion will, according to the theory, be observed for Rayleigh numbers larger than the critical value and less than 1·07 times the critical value. For a fluid depth of 5 mm, however, the formula (6.1) gives that cellular motion will be observed for Rayleigh numbers up to 1·54 times the critical value.

scholarly journals The response of human neutrophils to a chemotactic tripeptide (N-formyl- methionyl-leucyl-phenylalanine) studied by microcinematography

Blood ◽  
1984 ◽  
Vol 64 (1) ◽  
pp. 221-228 ◽  
Author(s):  
J Maher ◽  
JV Martell ◽  
BA Brantley ◽  
EB Cox ◽  
JE Niedel ◽  
...  
Keyword(s):  
Random Walk ◽  
Cell Surface ◽  
Linear Displacement ◽  
Human Neutrophils ◽  
Human Granulocytes ◽  
Stimulation Of ◽  
Random Walk Analysis ◽  
Cellular Motion

A quantitative microcinematographic technique for the measurement of cellular motion in response to chemical influences is described. The data are analyzed by using a magnetic digitizer connected to a computer, permitting comparison of several characteristics of such motion. When human granulocytes are placed in a gradient of formyl- methionyl-leucyl-phenylalanine (fMLP) (concentration 10(-6)-10(-8) mol/L) against buffer, the motion of the cells is increased in velocity (chemokinesis) and is directed toward the chemoattractant, as measured by the orientation of the vector of motion. This directionality is confirmed by positive values for the McCutcheon index and analysis of directed linear displacement. Concentrations of fMLP below 10(-9) mol/L did not result in chemokinesis or chemotaxis, presumably due to insufficient stimulus. Concentrations of 10(-6) mol/L fMLP and greater resulted in marked stimulation of the cell surface but reduced directionality and velocity of motion compared with cells in a more optimal gradient. Motion of the unstimulated cells tended to be ortholinear , and this was not increased by the presence of a gradient of fMLP. Hence, as previously shown, the Random Walk analysis, which does not give weight to the direction of motion, is not useful in the analysis of the response of these cells to a chemotaxin in this system.

scholarly journals Motion Sensing Superpixels (MOSES): A systematic framework to quantify and discover cellular motion phenotypes

2018 ◽  
Author(s):  
Felix Y. Zhou ◽  
Carlos Ruiz-Puig ◽  
Richard P. Owen ◽  
Michael J. White ◽  
Jens Rittscher ◽  
...  
Keyword(s):  
Visual Motion ◽  
Cellular Interactions ◽  
Motion Sensing ◽  
Cell Sheets ◽  
Dynamic Interactions ◽  
Experimental Conditions ◽  
Boundary Formation ◽  
Analytical Tools ◽  
External Stimuli ◽  
Cellular Motion

AbstractCellular motion is fundamental in tissue development and homeostasis. There is strong interest in identifying factors that affect the interactions of cells in disease but analytical tools for robust and sensitive quantification in varying experimental conditions for large extended timelapse acquisitions is limited. We present Motion Sensing Superpixels (MOSES), a method to systematically capture diverse features of cellular dynamics. We quantify dynamic interactions between epithelial cell sheets using cell lines of the squamous and columnar epithelia in human normal esophagus, Barrett’s esophagus and esophageal adenocarcinoma and find unique boundary formation between squamous and columnar cells. MOSES also measured subtle changes in the boundary formation caused by external stimuli. The same conclusions of the 190 videos were arrived at unbiasedly with little prior knowledge using a visual motion map generated from unique MOSES motion ‘signatures’. MOSES is a versatile framework to measure, characterise and phenotype cellular interactions for high-content screens.

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