====== Paper: High-Throughput Optical Thickness and Size Characterization of 2D Materials ======

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| //**Authors from our Lab:** \_ [[public:team:dickinson|William W. Dickinson]] and [[:public:team:schniepp|Hannes C. Schniepp]]// \\ **Published:** Apr. 10, 2018 \_
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**{{ public:publications:2018-05-04_pressreleasefigure_v02.png?direct&300|}}We describe a method using simple optical microscopy and image processing that simultaneously characterizes thousands of nanosheets in a sample area on the order of 1 mm<sup>2</sup>. Including data acquisition and processing, both the number of atomic layers and the lateral sizes of all sheets can be obtained within a few hours—approximately 100 times faster than with previous methods, such as atomic force microscopy. We demonstrate the utility of this method by examining fractions made from a sample of graphene oxide (GO) made using an emulsion-based method. Beyond providing the morphological composition of the samples, the reported method is sensitive enough to provide information about the oxidation level of a population of GO sheets and, correspondingly, optical constants of the material.**

See our **[[:public:news:blog:2017-2020:2018-05-04_release_optical_characterization|Press Release: Measuring the Thickness of the Thinnest]]**.

Our **{{:public:news:blog:2018-paper-optical_characterization.pdf|paper}}** has been published in the journal //[[http://pubs.rsc.org/en/journals/journalissues/nr|Nanoscale]]// (2017 impact factor: 7.367).

==== Citation ====

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W. W. Dickinson, H. V. Kumar, D. H. Adamson, H. C. Schniepp* \\
"High-Throughput Optical Thickness and Size Characterization of 2D Materials" \\
//Nanoscale// **10**, 14441–14447 (2018)
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[[this>_media/:public:news:blog:2018-paper-optical_characterization.pdf |{{:public:news:blog:icon_pdf_48.png?nolink}}]]

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|**PDF Download:**
|{{ :public:news:blog:2018-paper-optical_characterization.pdf |Download}}

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|**Contact:**
|[[schniepp@wm.edu|schniepp@wm.edu]]
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|**DOI:**
|[[http://dx.doi.org/10.1039/c8nr01725e|10.1039/C8NR01725E]]
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|**Publisher's Web Page:**
|[[http://dx.doi.org/10.1039/c8nr01725e]]
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==== Associated Software & Data ====
Along with this paper we also published this content for general access: 
  * The code we developed implementing a special algorithm we developed for this work: **[[https://gitlab.com/schniepp-lab/invert-mountain|invert-mountain]]** (free and open source software). It compensates images for contrast inversion.
  * The complete dataset used for the optical images images in the paper: **[[:Public:Publications#High Throughput Optical Graphene Assessment]]**. 

==== Links ====
  * **[[:public:research:projects:graphene|More about our 2D materials research]]**
  * **[[:public:publications|All Publications of the Schniepp group]]**