A CellProfiler introduction BIOP-EFPL 2015 1 Welcome 2 OPEN RGB IMAGE 3 Select an image Drag and Drop the image: test_RGB .tif 4 Output Folder View Output settings 5 Specify output folder Metadata 6 NamesAndType Select Color Image 7 Groups Leave Default 8 Start Test Mode Start Test Mode Error window pops-up The module list is empty… Adjust modules : + 9 Module The «Add modules» window pops-up. In module categories: - select ‘’Image Processing’’ Then : - double-clic ‘’ColorToGray’’ ColorToGray appears in the ‘’Analysis modules’’ list Select the input image, Set ‘’Conversion method’’ to ‘’ Split’’ Set Image type to ‘’RGB’’ Start Test Mode 10 Module An image window pops-up 11 Module Change Names 12 Module GrayToColor Select Images Start Test Mode 13 Module Default display RGB Reordered color after import 14 OPEN A COMPOSITE IMAGE 15 Open a composite image reUse RGB opening Drag and Drop the image: test_3channels .tif Start Test Mode 16 Issue! Composite images are not handled as RGB 17 Open a composite image set : Metadata Extract MetaData : YES Metadata extraction method : extract from image file headers Select Update metadata Update 18 Open a composite image set : NamesAndTypes Assign a name to : Images matching rules Select the rule Metadata Does Have C matching 0 Name to assign these images : ex ‘’DAPI’’ Select the image type Grayscale image Add another image 19 Open a composite image set : NamesAndTypes Assign a name to : Images matching rules Select the rule : Metadata Does Have C matching 0 Name to assign these images : ex ‘’DAPI’’, ‘ Select the image type Grayscale image … Metadata Does Have C matching 1, / ‘’Edu’’, Metadata Does Have C matching 2, / ‘’RFP’’, Update 20 Open a composite image set : NamesAndTypes Delete ColorToGray. Not necessary anymore 21 Start Test Mode Open a composite image set : NamesAndTypes An image window pops-up 22 IDENTIFY PRIMARY OBJECTS 23 Identify Primary Objects Default Parameters 24 Identify Primary Objects Default Parameters 25 Identify Primary Objects Change Threshold strategy to ‘’Global’’ Change to Global 26 Identify Primary Objects Change Threshold strategy and compare 27 Change Class Thresholding to Three classes Change to Three classes 28 Change to three classes and compare 29 Change middle class assignment to background Change to Background 30 Change middle class assignment to background 31 Clumped objects Change to Shape Compare Intensity,Shape,Porpagate 32 Clumped objects 33 Clumped objects Size of smoothing Distance between local maxima 34 Clumped objects 35 Measures Intensity using objects Select an Image Edu Add another Image and select the image RFP Select the Object to use for the measure 36 Export Measures 37 Measures Measurements Selection Select the measurements to export : change to YES . Select the Object to use for the measure. 38 Measures Measurements Selection Select measurements window pops-up. 39 Save an ‘‘Ouput’’ image 40 Save 2 ‘‘Ouput’’ images 41 Save 2 ‘‘Ouput’’ images Append a suffix : Change to YES Specify a text 42 SECONDARY OBJECT 43 Secondary object 44 Issue ! 45 46 Outlines 47 Outlines 48 Measure intensities 49 Save “Output”Images 50 TERTIARY OBJECTS 51 Tertiary objects 52 CSV OUTPUT FILE 53 Data that we want What do we have? Numbers What do we want? Graphics and little stars 54 Data that we have MyExpt_NucleiObject.csv 55 Data that we want 56 Data that we want 57 Data that we have MyExpt_NucleiObject.csv MyExpt_Image.csv 58 Data that we have MyExpt_NucleiObject.csv MyExpt_Image.csv 59 Data that we have MyExpt_NucleiObject.csv MyExpt_Image.csv 60 Data that we have MyExpt_NucleiObject.csv MyExpt_Image.csv 61 Crossing values from different tables formula =INDEX ( ) Column_I_want_a_return_value_from , ( MATCH ( My_Lookup_Value , Column_I_want_to_Lookup_against , 0 ) 62 Crossing values from different tables formula =INDEX ( ) = INDEX ( ) Column_I_want_a_return_value_from , ( MATCH ( My_Lookup_Value , Column_I_want_to_Lookup_against , 0 ) MyExpt_Image!$B$1:$B$9, ( MATCH( MyExpt_NucleiObject!A2 , MyExpt_Image!$E$1:$E$9, 0) ) 63 Crossing values from different tables formula 64 Extracting informations from ImageName Insert a column Copy 65 Extracting informations from ImageName Paste value 66 Extracting informations from ImageName Select Column Text to Column 67 Extracting informations from ImageName Select Other, and specify _ Select Delimited Next Next 68 Extracting informations from ImageName Column are filled with informations 69 Table create one Select the whole table (mouse or Ctl+A) 70 Table create one Select Insert Create Table window pops-up Select Table Select OK 71 Table create one 72 Pivot Table create one Select Pivot Table 73 Pivot Table create one Select OK 74 Pivot Table getting started 75 Pivot Table getting started Click in that field 76 Pivot table getting started To have access to column 77 Pivot Table getting started Select ImageName, in Rows Select Intensity_mean… , in Values, Change Sum to Average (click, Value Field Settings) 78 Pivot Table getting more Change to Edu et RFP status …and ImageReplicate 79 Pivot Table getting more Insert Graph Bar 80 Pivot Table getting more You get an interactive graph! 81
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