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Then, we developed a cooperative detection method using the analyzed features.
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Briefly, videos were imported into ImageJ and an area where heart contractions could be clearly identified throughout the length of the video was selected, thresholded to define the area occupied by hemolymph during each contraction, and the area fraction change calculated using the "analyze particles" feature.
Path lengths, time spent in quadrants and number of goal crossings were analyzed using the in-built features of the Ethovision software.
Influence of the feature vector length on GMM emotion classification error rate was analyzed using the special feature set P8 consisting of 32 parameters.
Microarray expression data were extracted and analyzed using the Agilent Feature Extraction Software and GeneSpring GX respectively.
The scanned images were analyzed using the Agilent Feature Extraction software and data analysis was performed using the GeneSpring GX software (Agilent Technologies).
Microarray images were analyzed using the Agilent feature extraction software and Rosetta Resolver (Rosetta Biosoftware) to determine fold changes and statistical confidence.
Data were analyzed using the Agilent Feature Extraction Software (v10.7).
Data were analyzed using the Agilent Feature Extraction Software (v10.7, Additional file 7, Table S2).
The raw TIFF images were analyzed using the Agilent Feature Extraction software v 8.1 using the recommended default settings.
All follow-up measurements will be analyzed using the 'comparison' feature of the Hologic APEX 3.2 analysis program.
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CEO of Professional Science Editing for Scientists @ prosciediting.com