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ModularImageAnalysis (MIA) is an ImageJ plugin which provides a modular framework for assembling image and object analysis workflows. Detected objects can be transformed, filtered, measured and related. Analysis workflows are batch-enabled by default, allowing easy processing of high-content datasets.

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package io.github.mianalysis.mia.lostandfound.objects.process;

import java.util.HashMap;

import org.scijava.Priority;
import org.scijava.plugin.Plugin;

import io.github.mianalysis.mia.module.lostandfound.LostAndFoundItem;
import io.github.mianalysis.mia.module.objects.process.FitGaussian2D;

@Plugin(type = LostAndFoundItem.class, priority = Priority.LOW, visible = true)
public class FitGaussian2DLostFound extends LostAndFoundItem {

    @Override
    public String getModuleName() {
        return new FitGaussian2D(null).getClass().getSimpleName();
    }

    @Override
    public String[] getPreviousModuleNames() {
        return new String[]{""};
    }

    @Override
    public HashMap getPreviousParameterNames() {
        HashMap parameterNames = new HashMap();
        parameterNames.put("Method to estimate spot radius", FitGaussian2D.SIGMA_MODE);
        parameterNames.put("Radius", FitGaussian2D.SIGMA_MODE);
        parameterNames.put("Radius measurement", FitGaussian2D.SIGMA_MEASUREMENT);
        parameterNames.put("Minimum sigma (x Radius)", FitGaussian2D.MIN_SIGMA);
        parameterNames.put("Maximum sigma (x Radius)", FitGaussian2D.MAX_SIGMA);
        
        return parameterNames;

    }

    @Override
    public HashMap> getPreviousParameterValues() {
        return new HashMap>();
    }
    
}




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