![]() # classifier to ignore when finding rules. # Here you may list other columns in your per_object table that you wish the # as well as any columns that contain non-numeric data. # automatically ignore ID columns defined in table_id, image_id, and object_id # Classifier uses columns in your per_object table to find rules. # What size plates were used? 96, 384 or 5600? This is for use in the PlateViewer. # object_name = singular object name, plural object name, # filter_SQL_CDKs = SELECT TableNumber, ImageNumber FROM CPA_per_image, Well_ID_Table WHERE CPA_per_image.well=Well_ID_Table.well AND Well_ID_Table.Gene REGEXP 'CDK.*' # filter_SQL_EMPTY = SELECT TableNumber, ImageNumber FROM CPA_per_image, Well_ID_Table WHERE CPA_per_image.well=Well_ID_Table.well AND Well_ID_Table.Gene="EMPTY" This will be associated with the filter name "XXX" from above. # filter_SQL_XXX = MySQL select statement that returns image keys you wish to filter out. # Here you can define image filters to let you select objects from a subset of your experiment when training the classifier. Group_SQL_NPuntxcells = SELECT ImageNumber FROM NPuntx_Per_Image # group_SQL_Well+Gene = SELECT Per_Image_Table.TableNumber, Per_Image_Table.ImageNumber, Well_ID_Table.well, Well_ID_Table.gene FROM Per_Image_Table, Well_ID_Table WHERE Per_Image_Table.well=Well_ID_Table.well # group_SQL_Gene = SELECT Per_Image_Table.TableNumber, Per_Image_Table.ImageNumber, Well_ID_Table.gene FROM Per_Image_Table, Well_ID_Table WHERE Per_Image_Table.well=Well_ID_Table.well # group_SQL_Well = SELECT Per_Image_Table.TableNumber, Per_Image_Table.ImageNumber, Per_Image_Table.well FROM Per_Image_Table This will be associated with the group name "XXX" from above. # group_XXX = MySQL select statement that returns image-keys and group-keys. # This is OPTIONAL, you may leave "groups = ". # Here you can define groupings to choose from when classifier scores your experiment. # Specify a default color for each of the channels (respectively) Image_names = Brightfield,TonEBP,NFkB,DRAQ,Brightfield2 # Give short names for each of the channels (respectively). # CellProfiler Analyst will now read image thumbnails directly from the database, if chosen in ExportToDatabase. Image_file_cols = Image_FileName_Brightfield,Image_FileName_TonEBP,Image_FileName_NFkB,Image_FileName_DRAQ,Image_FileName_Brightfield2 Image_path_cols = Image_PathName_Brightfield,Image_PathName_TonEBP,Image_PathName_NFkB,Image_PathName_DRAQ,Image_PathName_Brightfield2 # Note that these lists must have equal length! # path and filename column to the per-image table of your database and then However, any number of images may be combined by adding a new channel # Individual image files are expected to be monochromatic and represent a single # Specify the column names from your per-image table that contain the image # Classifier needs to know where to find the images from your experiment. # Also specify the column names that contain X and Y coordinates for eachĬell_x_loc = cells_grid_Location_Center_XĬell_y_loc = cells_grid_Location_Center_Y # object_id: the object key column from your per-object table # image_id: must be a foreign key column between your per-image and per-object # key to your per-image and per-object tables. # you merge them into one and add a table_number column as a foreign # table_id (OPTIONAL): This field lets Classifier handle multiple tables if # Specify the database column names that contain unique IDs for images and # CellProfiler Analyst 2.0 properties fileĭb_sqlite_file = C:\Users\shobi\Desktop\CP_Output\NPuntx.db I have attached my properties file below, and would love any suggestions for how to fix this! #Wed Jan 22 15:04:47 2020 I believe that CellProfiler Analyst is working properly, so I am assuming that there is an issue with my properties file. I try to open it with CellProfiler Analyst and the program closes. I am having issues opening the properties file generated with CellProfiler using the ExportToDatabase module. Hi all, I am a new CellProfiler Analyst user.
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