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A mathematical framework for modeling biological cells from a physicochemical perspective is described.
This is facilitated by specialized biological cells from bone surfaces and marrow that can digest aged or damaged bone and reform new bone tissue.
It has been demonstrated in modeling studies either for the slow inhibitory synapses alone [13] or for fast inhibition combined with electrical coupling [14] [16] and, moreover, can easily be found in hybrid networks in which biological cells from snail ganglion [15] or cortical slices [17] are interconnected by a dynamic clamp system.
There are many applications of light scattering from biological cells, from cancer diagnosis in tissue to single cell measurements in flow cytometry to identify specific cell populations.
The spectra of dried S. cerevisiae fed-batch samples acquired off-line show spectral features typical for the constituents of biological cells (from refs (45 and 46)): The C=O stretching of ester groups in lipids leads to an absorption around 1730 cm 1.
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Intracellular calcium concentration in biological cells varies from 0.1 to 10 μM depending upon cell signaling and disease states.
Promising applications include sensing and quantum control of individual electron and nuclear spins, imaging of magnetic fields from biological cells under ambient conditions, and studies of magnetic materials of wide-ranging relevance from Earth science to condensed matter physics to brain science.
Biofabrication applies these same techniques to print physical objects from biological cells.
For many chemists, then, it is replication – the process that viruses can undertake only with a helping hand from biological cells – that really helps define life.
It was found that light scattering from biological cells has significant and complex time dependence [ 28].
The mechanism of light scattering from biological cells has been investigated, and scattering at large angles, which corresponds to back-scattered OCT signals, could be mainly due to small organelles and structures within organelles [ 38, 39].
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