By varying size and composition of the protein-filled hydrogel microstructures as well as adjusting the extent of labeling it is possible to easily adapt the surface concentration of the probe molecules such that the fluorescence signal intensity is tuned to the prevalence of the protein in the analyte.
The values and the representation will be code-dependent but with the appropriate conversions of (say) units, coordinate systems and labelling, it is possible to compare the output of one code with another.
Another novelty feature that the molsync.com service provides is the display of a molecular glyph, which is the equivalent of a chemical QR code: its role is equivalent to a URL, except that when it is printed out on paper, e.g. on a poster or a label, it is possible to use the Living Molecules mobile app [64] to photograph the glyph.
With fluorescence-labeling, it is possible to obtain spatial and temporal information of a targeted drug's delivery to cancer cells through fluorescence imaging, as we show here.
By BrdU or EdU labeling, it is possible to distinguish between "early", "mid" and "late" S phase, based on the qualitative distribution of the incorporated label (diffuse staining in early S phase versus the presence of large punctate structures in later S phase) (Dahm and Hübscher, 2002; Quivy et al., 2008; Fu et al., 2013).
Using antibody labeling, it was possible to image the mitochondria with a z-range of 3 μm, and a z-resolution of approximately 50 nm.
By indirect immunhistochemical labelling, it was possible to detect an early increase in the number of MPO+ and NE+ cells around portal vessels of the rat liver after γ-Irradiation.
For more specific meal suggestions and recipes, please refer to my previous post: "Why Plants are This Summer's "Coolest" Diet". 5. Read and review your food labels, because, it is possible that there are ingredients in them that are unsustainable (such as coconut or palm kernel oil - which destroy several habitats) and or possibly shark fin or cartilage.
With the contingent of existing labeling methods, it is possible to label nearly all compounds in sufficient radiochemical yields (RCYs); however, sometimes the required great technical effort can prevent clinical routine production.
The results of our experiments suggest that even without labeled data, it is possible to build useful machine learning models and that leveraging these models could result in significant gains (at least 8 times better) over a random method.
