Aivia Software

Nuclei Count

The Nuclei Count recipe in Aivia detects nuclei in 2D fluorescence microscopy images and measures the morphology, intensity, and count of the detected nuclei.

This recipe can be used for detection of any compact, bright foreground objects against a dark background.

Parameters and Presets

Parameters

Recipe parameters for Nuclei Count and their descriptions are summarized in the table below.

Preset Group

Parameter Name

Min Value

Max Value

Description

Preset Group

Parameter Name

Min Value

Max Value

Description

Detection

Background Removal Factor

(Remove Background only)

0

100

Adjusts the sensitivity of the background removal operation; a lower value will preserve larger objects and more background variations

Contrast Threshold 

(Remove Background)

Intensity Threshold

(Skip Remove Background)

0

255 (8-bit)

65,535 (16-bit)

Adjusts the detection sensitivity on the segmentation image:

  • When Remove Background is selected, the threshold will be applied to the background-removed image

  • When Skip Remove Background is selected, the threshold will be applied to the input image

A lower value will detect bigger and more objects

Fill Holes Size

0

50,000 px2 or µm2

Adjusts the maximum size threshold for filling in gaps inside a detected object; a lower value will preserve more holes in the detection

Smoothing Factor

0

100

Adjusts the amount of smoothing applied to the outlines of the detected objects; a lower value will preserve more of the objects' morphological features

Nuclei Partition

Object Size

0

50,000 px2 or µm2

Specifies the range of objects to be included in the analysis results based on the areas of the detected objects

Separation Factor 

(Nuclei Partition only)

0

100

Adjusts the sensitivity of the object separation operation; a lower value will preserve larger objects with multiple intensity peaks

 

Presets

There are two preset groups in the recipe: Detection and Nuclei Partition. Each group has three pre-configured parameter groupings to help you get started on the analysis. The default preset values are as follows:

 

Detection

Parameter Name

Low

Medium

High

Background Removal Factor

25

55

75

Contrast Threshold

Intensity Threshold

23 (8-bit)

8 (8-bit)

1 (8-bit)

5,898 (16-bit)

1,966 (16-bit)

262 (16-bit)

Fill Holes Size

50 px2 or µm2

50 px2 or µm2

50 px2 or µm2

Smoothing Factor

4

4

4



 

Nuclei Partition

Parameter Name

Low

Medium

High

Object Size

10 - 500 px2 or µm2

50 - 3,000 px2 or µm2

100 - 5,000 px2 or µm2

Separation Factor

50

70

85



 

Tutorial

Before beginning the tutorial, please download the Nuclei Count Demo image. For information on how to select presets or modify parameter values, please refer to the tutorial on how to use the Recipe Console.

  1. Unzip the demo file and load the demo image, “NucleiCountDemo_01.tif,” into Aivia.

  2. In the Recipe Console, click on the Recipe selection dropdown menu and select the Nuclei Count recipe.

  3. Select the Low preset for both the Detection group and the Nuclei Partition group.

  4. Click on the caret to the left of the Detection preset group to show the preset parameters.

  5. Change the Detection preset parameter below as follows:

    • Contrast Threshold: 120

  6. Click the Start button or press the F4 key on your keyboard to begin applying the recipe to the image.

The detected object outlines will be overlaid on the image.

 

Results

 

Nuclei Count tutorial results

 

Measurements

The Nuclei Count recipe generates morphological and intensity measurements for each detected nucleus as well as a count of the total number of nuclei on the image. You can add additional measurements to the analysis results with the Measurement Tool in Aivia and view measurement definitions on the Measurement Definitions page. The measurements generated by the recipe are given in the table below.

Morphology

Intensity

Count

Advanced

Morphology

Intensity

Count

Advanced

  • Area

  • Circularity

  • Pixel-based Mean Intensity

  • Pixel-based Standard Deviation Intensity

  • Pixel-based Total Intensity

  • Component Count

  • Total Component Count

  • Avg Mean Intensity

 

 

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