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  2. Antibiotic sensitivity testing - Wikipedia

    en.wikipedia.org/wiki/Antibiotic_sensitivity_testing

    The minimum inhibitory concentration, which is the lowest concentration of the antibiotic that stops the growth of bacteria, can be estimated from the size of the zone of inhibition. Antibiotic susceptibility testing has been needed since the discovery of the beta-lactam antibiotic penicillin. Initial methods were phenotypic, and involved ...

  3. Minimum inhibitory concentration - Wikipedia

    en.wikipedia.org/wiki/Minimum_inhibitory...

    Nowadays, the MIC is used in antimicrobial susceptibility testing. The MIC is reported by providing the susceptibility interpretation next to each antibiotic. The different susceptibility interpretations are: "S" (susceptible or responding to a standard dosing regimen), "I" (intermediate or requiring increased exposure), and "R" (resistant).

  4. Etest - Wikipedia

    en.wikipedia.org/wiki/Etest

    Etest is a quantitative technique for determining the MIC of microoganisms. It is used for a range of Gram-negative and Gram-positive bacteria such as Pseudomonas, [2] [3] Staphylococcus, [4] and Enterococcus species, [5] as well as fastidious bacteria, such as Neisseria and Streptococcus pneumoniae. [1]

  5. Broth microdilution - Wikipedia

    en.wikipedia.org/wiki/Broth_microdilution

    If the broth became cloudy or a layer of cells formed at the bottom, then bacterial growth has occurred. The results of the broth microdilution method are reported in Minimum Inhibitory Concentration (MIC), or the lowest concentration of antibiotics that stopped bacterial expansion. [1]

  6. Disk diffusion test - Wikipedia

    en.wikipedia.org/wiki/Disk_diffusion_test

    Interpretation is more complicated in mixed susceptibility populations. These are plotted as linear dimensions or squares of distances as a function of the natural logarithm of antibiotic concentration in the disks. The MIC is determined from the zero intercept of a linear regression fit through the data. [12]

  7. Project Naptha - Wikipedia

    en.wikipedia.org/wiki/Project_Naptha

    Project Naptha is a browser extension software for Google Chrome that allows users to highlight, copy, edit and translate text from within images. [1] It was created by developer Kevin Kwok, [2] and released in April 2014 as a Chrome add-on. This software was first made available only on Google Chrome, downloadable from the Chrome Web Store.

  8. Medical image computing - Wikipedia

    en.wikipedia.org/wiki/Medical_image_computing

    Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care.

  9. Chrome Web Store - Wikipedia

    en.wikipedia.org/wiki/Chrome_Web_Store

    Chrome Web Store was publicly unveiled in December 2010, [2] and was opened on February 11, 2011, with the release of Google Chrome 9.0. [3] A year later it was redesigned to "catalyze a big increase in traffic, across downloads, users, and total number of apps". [4]

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