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Thermal evolutions of the cells during the profile are recorded to witness the temperature distribution and the validation of the model.
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The simulation is then run to allow cells to reach new states, resulting in an animation representing the temporal evolution of the cells' states.
In addition, the extended period of time that these cell lines have been used has allowed for the continued in-vitro evolution of the cells, and could possibly extend those genomic differences.
Another major step in the evolution of the cell would have been the development, in one family of self-replicating RNA, of a primitive mechanism of protein synthesis.
At the transition, the time evolution of the cell potential slows down significantly.
As expected, a single velocity curvature relation is not recovered due to the unsteady evolution of the cell.
The phase images (left) recorded every 1.5 s show the evolution of the cell morphology during the Raman measurement (right), which is performed through line scanning.
Quantitative phase images at (a) the beginning and (b) the end of the measurement, showing the temporal evolution of the cell morphology.
The dynamical evolution of the cell population, the total virus number via replication, and its dependency on the initial conditions will be studied here.
Now it turns out that two organisms thought to record early events in the evolution of the cell may not be good models after all.
During their growth on the polymers, the evolution of the cell morphology was monitored using both confocal microscopy and immunohistochemistry, leading to the conclusion of a normal development.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com