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• W3093077324 abstract "DeepTrack is an all-in-one deep learning framework for digital microscopy, attempting to bridge the gap between state of the art deep learning solutions and end-users. It provides tools for designing samples, simulating optical systems, training deep learning networks, and analyzing experimental data. Moreover, the framework is packaged with an easy-to-use graphical user interface, designed to solve standard microscopy problems with no required programming experience. By specifically designing the framework with modularity and extendability in mind, we allow new methods to easily be implemented and combined with previous applications." @default.
• W3093077324 created "2020-10-22" @default.
• W3093077324 creator A5010589630 @default.
• W3093077324 creator A5012105916 @default.
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• W3093077324 creator A5054966248 @default.
• W3093077324 creator A5089823520 @default.
• W3093077324 date "2020-08-20" @default.
• W3093077324 modified "2023-09-27" @default.
• W3093077324 title "Quantitative digital microscopy with deep learning" @default.
• W3093077324 cites W1498436455 @default.
• W3093077324 cites W1623106328 @default.
• W3093077324 cites W1901129140 @default.
• W3093077324 cites W1978818813 @default.
• W3093077324 cites W1981765336 @default.
• W3093077324 cites W1982221523 @default.
• W3093077324 cites W1987977094 @default.
• W3093077324 cites W1999727451 @default.
• W3093077324 cites W1999860614 @default.
• W3093077324 cites W2001300945 @default.
• W3093077324 cites W2002016471 @default.
• W3093077324 cites W2019062120 @default.
• W3093077324 cites W2019663874 @default.
• W3093077324 cites W2021748684 @default.
• W3093077324 cites W2028514924 @default.
• W3093077324 cites W2028890857 @default.
• W3093077324 cites W2032706441 @default.
• W3093077324 cites W2042629182 @default.
• W3093077324 cites W2054455698 @default.
• W3093077324 cites W2057543913 @default.
• W3093077324 cites W2062552264 @default.
• W3093077324 cites W2067678611 @default.
• W3093077324 cites W2073805463 @default.
• W3093077324 cites W2076115100 @default.
• W3093077324 cites W2084325601 @default.
• W3093077324 cites W2085056696 @default.
• W3093077324 cites W2099471712 @default.
• W3093077324 cites W2103496339 @default.
• W3093077324 cites W2103706175 @default.
• W3093077324 cites W2135438092 @default.
• W3093077324 cites W2136382208 @default.
• W3093077324 cites W2136796840 @default.
• W3093077324 cites W2136872267 @default.
• W3093077324 cites W2145055214 @default.
• W3093077324 cites W2146404768 @default.
• W3093077324 cites W2165149777 @default.
• W3093077324 cites W2171820152 @default.
• W3093077324 cites W2183341477 @default.
• W3093077324 cites W2194775991 @default.
• W3093077324 cites W2209448324 @default.
• W3093077324 cites W2284198383 @default.
• W3093077324 cites W2302517508 @default.
• W3093077324 cites W2347064614 @default.
• W3093077324 cites W2395611524 @default.
• W3093077324 cites W2464708700 @default.
• W3093077324 cites W2511996800 @default.
• W3093077324 cites W2512138407 @default.
• W3093077324 cites W2522761331 @default.
• W3093077324 cites W2593901215 @default.
• W3093077324 cites W2594660495 @default.
• W3093077324 cites W2611670633 @default.
• W3093077324 cites W2689259083 @default.
• W3093077324 cites W2744103196 @default.
• W3093077324 cites W2760946358 @default.
• W3093077324 cites W2768673271 @default.
• W3093077324 cites W2787020583 @default.
• W3093077324 cites W2796672611 @default.
• W3093077324 cites W2797890682 @default.
• W3093077324 cites W2801396275 @default.
• W3093077324 cites W2884160046 @default.
• W3093077324 cites W2888107234 @default.
• W3093077324 cites W2895303488 @default.
• W3093077324 cites W2900936384 @default.
• W3093077324 cites W2901988773 @default.
• W3093077324 cites W2903178463 @default.
• W3093077324 cites W2912327653 @default.
• W3093077324 cites W2917196829 @default.
• W3093077324 cites W2919115771 @default.
• W3093077324 cites W2951085983 @default.
• W3093077324 cites W2960756190 @default.
• W3093077324 cites W2960940172 @default.
• W3093077324 cites W2963073614 @default.
• W3093077324 cites W2963194837 @default.
• W3093077324 cites W2963508732 @default.
• W3093077324 cites W2963574983 @default.
• W3093077324 cites W2995855952 @default.
• W3093077324 cites W2999435349 @default.
• W3093077324 cites W3005169196 @default.
• W3093077324 cites W3015600294 @default.
• W3093077324 cites W3028369706 @default.
• W3093077324 cites W3033219475 @default.
• W3093077324 cites W3036396785 @default.
• W3093077324 cites W3099186728 @default.
• W3093077324 cites W3099859964 @default.
• W3093077324 cites W3102737931 @default.
• W3093077324 cites W3103056925 @default.
• W3093077324 cites W73812138 @default.
• W3093077324 doi "https://doi.org/10.1117/12.2567479" @default.
• W3093077324 hasPublicationYear "2020" @default.

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