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Methods of cell sorting fall into two major categories: fluorescence-activated cell sorting (FACS) and immunomagnetic cell sorting. [2] Due to many years of refinement and increased demand for cell separation however, researchers are working to develop microfluidic sorting devices that have many benefits in comparison to the main types of fluorescence-activated cell sorting and immunomagnetic ...
Timsort is a hybrid, stable sorting algorithm, derived from merge sort and insertion sort, designed to perform well on many kinds of real-world data. It was implemented by Tim Peters in 2002 for use in the Python programming language. The algorithm finds subsequences of the data that are already ordered (runs) and uses them to sort the ...
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A magnetic-labelled receptor that binds to annexin is added to sperm. Inside normal cells, phosphatidylserine molecules are located within the cell membrane towards the cytoplasm. Nevertheless, in those cells that initiate the apoptotic process phosphatidylserine instead faces the cell membrane outer side, binding to the annexin conjugate.
Spike sorting refers to the process of assigning spikes to different neurons. The background to this is that the exact time course of a spike event as recorded by the electrode depends on the size and shape of the neuron, the position of the recording electrode relative to the neuron, etc.
Protein targeting or protein sorting is the biological mechanism by which proteins are transported to their appropriate destinations within or outside the cell. [1] [2] [note 1] Proteins can be targeted to the inner space of an organelle, different intracellular membranes, the plasma membrane, or to the exterior of the cell via secretion.
A cellular automaton consists of a regular grid of cells, each in one of a finite number of states, such as on and off (in contrast to a coupled map lattice). The grid can be in any finite number of dimensions. For each cell, a set of cells called its neighborhood is defined relative to the specified cell.
Comparison-based sorting algorithms have traditionally dealt with achieving an optimal bound of O(n log n) when dealing with time complexity.Adaptive sort takes advantage of the existing order of the input to try to achieve better times, so that the time taken by the algorithm to sort is a smoothly growing function of the size of the sequence and the disorder in the sequence.