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The most common is to choose the location, size and number of the regions of interest based on visual inspection of the image sets. The two other, rather new but more reliable approaches are either by detecting areas of different probe mobility on an individual image basis or by physical modeling of fluorescence loss from moving bodies. [2]
This will be true, for example, if a cylindrical volume is bleached with the axis of the cylinder along the z axis and with this cylindrical volume going through the entire height of the cell. Then diffusion along the z axis does not cause fluorescence recovery as all protein is bleached uniformly along the z axis, and so neglecting it, as ...
This project is inspired by the 2009 Wikipedia AP Biology Project. There are many basic and important diagrams missing from biological articles and we're doing our part to fix this. Students will work alone, there are 43 students so we should have 43 new images with captions and labels. The time frame will be three weeks.
This project is inspired by the 2009 Wikipedia AP Biology Project. There are many basic and important diagrams missing from biological articles and we're doing our part to fix this. Students will work alone, there are 49 students so we should have 49 new images with captions and labels. The time frame will be three weeks.
This project is inspired by the 2009 Wikipedia AP Biology Project. There are many basic and important diagrams missing from biological articles and we're doing our part to fix this. Students will work alone, there are 72 students so we should have 72 new images with captions and labels. The time frame will be three weeks.
Multi-dynamic image technique is a name given by its Canadian creator Christopher Chapman (January 24, 1927 – October 24, 2015) to a film innovation which shows several images shifting simultaneously on right-angled panes within the overall image, with said panes variously containing a single image or forming part of an image completed by one or a number of other panes.
Another example is that when many images of a model animal (e.g. C. elegans or Drosophila brain or a mouse brain) are collected, there is often a substantial need to register these images to compare their patterns (e.g. those correspond to the same or different neuron population, those share or differ in the gene expression, etc.).
Notable examples include HIV-1 (human immunodeficiency virus), [7] RSV (Rous sarcoma virus) [8] and the influenza virus (flu), [9] which all rely on frameshifting to create a proper ratio of 0-frame (normal translation) and "trans-frame" (encoded by frameshifted sequence) proteins. Its use in viruses is primarily for compacting more genetic ...