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ACsN ===== <div> <table frame=void rules=none> <tr> <td width="75%"> <div style="width:650px;float:left" align="justify"> ACsN (pronounced as <i>action</i>) stands for Automatic Correction of sCMOS-related Noise. It combines an accurate estimation of noise variation with sparse filtering to eliminate the most relevant noise sources in the images of a sCMOS sensor. This results in a drastic reduction of pixel-dependent noise in sCMOS images and an enhanced stability of denoising performance at a competitive computational speed. </div> </td> <td width="25%"> <div style="width:150px;float:right;"> <img src="Picture2.jpg" width=150 height=150> </div> </td> </tr> </table> <!-- <div style="clear:both"></div> --> </div> ## Citation ## Please, cite our paper on [Nature Communications]. Mandracchia, B., Hua, X., Guo, C. et al. Fast and accurate sCMOS noise correction for fluorescence microscopy. Nat Commun 11, 94 (2020) doi:10.1038/s41467-019-13841-8 ## System Requirements ## ### Hardware Requirements ### ACsN requires a standard computer with enough RAM to support MATLAB 2014b. For minimal performance, this will be a computer with about 2 GB of RAM. For optimal performance, we recomend the following specs: RAM: 16+ GB; CPU: 6+ cores, 3.2+ GHz/core. ### Software Requirements ### MATLAB 2014b+ MATLAB 2018a+ (Graphic interface) MATLAB "Curve Fitting" Toolbox Windows OS 7+ ## Install ## ### Graphic Interface ### To run ACsN graphic interface: - Double-click the ACsN.mlappinstall file in the ACsN_matlab_app folder. - In MATLAB, go to App>My App and double-click on ACsN. - To test the program you can use the images provided in the Test Images folder. See the file Settings.txt for the aquisition parameters. ### MATLAB Command Line ### To run ACsN from MATLAB command line: - Add the folder ACsN_code to your MATLAB path (including subfolders). - In the command line type help ACSN or run the Sample code script in the Test Images folder to see the code usage. ### ImageJ/Fiji ### To run ACsN from ImageJ/Fiji follow these steps: - Add the ImageJ-MATLAB update site to ImageJ. To see how, look at [here][ImageJ-MATLAB]. - Go to Edit > Options > MATLAB and enter the file path for MATLAB licence. - Add the ACsN_code folder and subfolders to the MATLAB path. - Copy the file 'ACsN_.m' to the folder '<ImageJ installation folder name>\plugins\Scripts\Process\'. - Select an open image in ImageJ and then press Process > ACsN from the menu toolbar. - To test the program you can use the images provided in the Test Images folder. See the file Settings.txt for the aquisition parameters. The installation on a recommended computer should take less than 3 seconds. [ImageJ-MATLAB]: https://imagej.net/MATLAB_Scripting#Prerequisites [Nature Communications]: https://www.nature.com/articles/s41467-019-13841-8