For full details of use see article and supplementary information found here: http://pubs.acs.org/doi/full/10.1021/acsnano.5b05968
BeanCounter.m is the main script responsible for analyzing EM images. Users can pass images into this script through a graphical user interface (GUI) and the script will output a single excel sheet containing particle statistics. If the user selects an entire directory for analysis, BeanCounter.m will aggregate each individual excel sheet into a single excel document. Users can specify the output location of these excel files using the GUI. The excel sheet contains: minor edge length, minor edge length error, aspect ratio, aspect ratio error, corner rounding, corner rounding error, goodness of fit, area, perimeter, and the shape classification or identifier. All errors are determined by the confidence interval of the fit. The shape identifier is a number that corresponds to a particular shape (i.e. 1: rod, 2: circle, 3: triangle, 4: square, 6: hexagon). The GUI has additional options for specifying output images and processing parameters.
Copyright (c) 2015, Chad A. Mirkin, Christine R. Laramy, Keith A. Brown, and Matthew O'Brien.
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
* Scientific works derived from this code must include a citation to the paper where it was introduced:
M. N. O'Brien, M. R. Jones, K. A. Brown, C. A. Mirkin. Universal Noble Metal Nanoparticle Seeds Realized Through Iterative Reductive Growth and Oxidative Dissolution Reactions. J. Am. Chem. Soc. 2014, 136, 7603 doi: 10.1021/ja503509k
High-Throughput, Algorithmic Determination of Nanoparticle Structure from Electron Microscopy Images
Christine R. Laramy, Keith A. Brown, Matthew N. O’Brien, and Chad. A. Mirkin ACS Nano Article ASAP
* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution
* Neither the name of the nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR ONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Chad Mirkin (2022). High-Throughput, Algorithmic Determination of Nanoparticle Structure from Electron Microscopy Images (https://www.mathworks.com/matlabcentral/fileexchange/54101-high-throughput-algorithmic-determination-of-nanoparticle-structure-from-electron-microscopy-images), MATLAB Central File Exchange. Retrieved .
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