![]() Also, when I go to the ImageGallery module, I can load "images from experiment" no problem. properties file and an SQLite database to load in so CPA at least boots up. Before I dive in deeper, would this be the cause of the fact that no thumbnails are being displayed? I think perhaps the bigger issue is that no objects are found. Hi, I am trying to get CPA up and running and got excited that after some troubleshooting I finally have a CP-generated. Inside the SQLite viewer though, the pathnames and filenames appear correct. It may be necessary to adjust the settings in the property file to match the accounts and database information, depending on your MySQL installation. Load the 'example.properties' (Under 'File -> Open Properties'). The only issue might be that the filenames are quite long (68 characters, path+filename is 97 characters). CellProfiler Analyst Jar file (CPAnalyst.jar). If you use CellProfiler to produce the data to be analyzed in CPA, you can. It is selected and loaded upon startup of CPA. This file can be stored anywhere on your computer. as well as the appropriate Image_FileName_CHAN1 etc. CellProfiler (McQuin et al., 2018), although with the limitation. The properties file is a plain text file that contains the configuration information necessary for CPA to access your data and images. I loaded my cpa.db file into DB Browser for SQLite and found that the objects do exist, the path exists for Image_PathName_CHAN1 etc. Image_file_cols = Image_FileName_CHAN1,Image_FileName_CHAN2,Image_FileName_CHAN3,Image_FileName_CHAN4Ĭlassifier_ignore_columns = table_number_key_column, image_number_key_column, object_number_key_column ![]() Image_path_cols = Image_PathName_CHAN1,Image_PathName_CHAN2,Image_PathName_CHAN3,Image_PathName_CHAN4 Its most popular feature is a supervised machine learning system ('Classifier') that can be trained to recognize complicated and subtle phenotypes, for automatic scoring of millions of cells. Db_sqlite_file = /home/user/t/04_CPrr/cpa.db CellProfiler Analyst (CPA) allows interactive exploration and analysis of data, particularly from high-throughput, image-based experiments. ![]()
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