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Endomicroscopy is a technique for obtaining histology-like images from inside the human body in real-time, [1] [2] [3] a process known as ‘optical biopsy’. [ 4 ] [ 5 ] It generally refers to fluorescence confocal microscopy , although multi-photon microscopy and optical coherence tomography have also been adapted for endoscopic use.
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The volume of total solids (primarily protein and lipid) in a plasma sample is approximately 7%, so that only 93% is water. The main electrolytes are confined to water phase. So for example in 10 μL plasma sample, only 9.3 μL is water that contains the electrolyte.
In this technique, the response of the sample is measured and recorded, for example, using an electrode selective for the analyte. Then, a small volume of standard solution is added and the response is measured again. Ideally, the standard addition should increase the analyte concentration by a factor of 1.5 to 3, and several additions should ...
In most applications vacancy defects are irrelevant to the intended purpose of a material, as they are either too few or spaced throughout a multi-dimensional space in such a way that force or charge can move around the vacancy [dubious – discuss].
Confocal endoscopy, or confocal laser endomicroscopy (CLE), is a modern imaging technique that allows the examination of real-time microscopic and histological features inside the body. In the word "endomicroscopy", endo- means "within" and -skopein means "to view or observe".
The analysis of results is performed by determining the ratio of elements from within the sample and working out a chemical formula that fits with those results. This process is useful as it helps determine if a sample sent is the desired compound and confirms the purity of a compound.
In 2020, it was announced that Google's AlphaFold, a neural network based on DeepMind artificial intelligence, is capable of predicting a protein's final shape based solely on its amino-acid chain with an accuracy of around 90% on a test sample of proteins used by the team.