Fluorescence Microscopy (High-Content Imaging) SPP for the analysis of lipid droplets for the Discovery-1 automated microscope of Molecular Devices

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== 2.2. Journal Description  ==
== 2.2. Journal Description  ==
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1. An sharpen median filter (preprocessing filter) is used to improve the images for better identification, separation and definition of objects (lipid droplets) as distinct elements  
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#An sharpen median filter (preprocessing filter) is used to improve the images for better identification, separation and definition of objects (lipid droplets) as distinct elements  
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<br>2. An intensity based treshold for light objects is applied to identify all the stained lipid droplets in the image  
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Image after the application of the sharpen image filter and the intensity based threshold.  
Image after the application of the sharpen image filter and the intensity based threshold.  
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#Regions are created around the object for analysis of lipid droplets  
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<br>3. Regions are created around the object for analysis of lipid droplets  
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[[Image:Regions 2.jpg|200px]]<br>Image with regions around lipid droplets  
[[Image:Regions 2.jpg|200px]]<br>Image with regions around lipid droplets  

Revision as of 10:25, 24 April 2009

Contents

1. Input

Automated analysis of lipid droplets requires two microscopy channels to get well and cell based data. In the first, green channel, the lipid droplets stained with Bodipy 493/503 are detected and in the second, red channel cell nuclei and cytoplasm stained with HCS CellMask Red Cytoplasmic stain are detected. From each well of a multi-well plate, the microscope takes 4 fields per channel. These 384 images are saved as tif files. As an example, the two corresponding images of one field are shown below.

 

Green channel with stained lipid droplets
Red channel with nuclei and cytoplasm



 

2. Analysis

To analyse the primary images with the MetaMorph Software (Version 6.1) a Journal was written to get well-based primary parameters. To get also cell based data a newer version of this Software is currently tested.


2.2. Journal Description

  1. An sharpen median filter (preprocessing filter) is used to improve the images for better identification, separation and definition of objects (lipid droplets) as distinct elements
  1. An intensity based treshold for light objects is applied to identify all the stained lipid droplets in the image


Image after the application of the sharpen image filter and the intensity based threshold.

  1. Regions are created around the object for analysis of lipid droplets


Image with regions around lipid droplets


With the integrated morphometry analysis in MetaMorph the output parameters of the analysis are defined and logged into an excel file. Also different graphical presentations of the data can be made with the integrated morphometry analysis.

Image:Integrated_Morphometry_Analysis.jpg Image:Region_statistics.jpg


Data analysis with the integrated morphometry analysis in MetaMorph


2.3. Output parameters

Well based parameters:

  • Area of each lipid droplet and average area per image
  • Average intensity of pixels within regions
  • Intensity Standard Deviation
  • Intensity Signal/Noise ratio
  • Minimum and Maximum Intensity


Example of an Excel Table containing well based parameters

Image:Excel_1.jpg
 

Example of a summary table of well based parameters

Image:Excel_summary.jpg

3. Data processing

These primary parameters are further processed in Microsoft Excel to show the average intensity, the average area and the total count of lipid droplets


4. Proposals and discussion points

Write here any proposals and discussion points you may have.

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