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Image Search Results
Journal: bioRxiv
Article Title: Deep learning enables fast and dense single-molecule localization with high accuracy
doi: 10.1101/2020.10.26.355164
Figure Lengend Snippet: a) DECODE can reduce acquisition times by one order of magnitude. The same sample of microtubules, labeled with anti- α tubulin primary and AF647 secondary antibodies, imaged with different UV activation intensities to result in different emitter densities between 0.08 and 0.86 emitters per frame per μm 2 and acquisition times between 93 and 1120 s, while keeping the total number of localizations the same. For high-density activation, we show a comparison with CSpline. b) Fourier Ring Correlation curves for DECODE and CSpline for different emitter densities. c) Resolution estimates obtained using the Fourier Ring Correlation and 0.143 criterion across densities for both methods. d) Fast live-cell SMLM on the nuclear pore complex protein Nup96-mMaple acquired in 3 seconds. e) DECODE enables ultra-high labeling densities. Microtubules labeled with a high concentration of anti- α and anti- β tubulin primary and AF647 secondary antibodies. e1, e2) Magnified regions as indicated in a. Data acquired with high-density labeling shows continuous structures. As a comparison, the same sample was acquired after pre-bleaching of the fluorophores to reach the single-molecule blinking regime. Here, single labels are resolved in the superresolution reconstruction and lead to a sparse decoration of the microtubules. e3, e4) Side view reconstructions of regions as indicated in e1, e2 resolving the hollow, cylinder-like structure of immunolabeled microtubules. f) Representative raw camera frames for the high-density and single-emitter acquisitions, respectively. Scale bars: 10 μm (d inset, f), 1 μm (a, d, e, e1, e2), 100 nm (e3,e4).
Article Snippet: For imaging of live cells, coverslips containing
Techniques: Labeling, Activation Assay, Concentration Assay, Immunolabeling
Journal: British Journal of Cancer
Article Title: Combined proteome and transcriptome analyses for the discovery of urinary biomarkers for urothelial carcinoma
doi: 10.1038/bjc.2013.157
Figure Lengend Snippet: Classification of the proteins identified in the conditioned medium of UCB cell lines. The proteins identified in the conditioned media and in the corresponding cells were divided into categories using the GO Cellular Components function in STRING 9.0 ( www.string-db.org ). The number of proteins in each analysis was: 5637=622/546, EJ28=649/717, HB-CLS-2=822/462 (cell pellet/secretome).
Article Snippet: 5637 and
Techniques: