• 圣淘沙名胜世界(新加坡)

    Cluster Counting

    daniel.dautan daniel, Per Svenningsson

    Published: 2024-07-13 DOI: 10.17504/protocols.io.5jyl8224rl2w/v1
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    Abstract

    Used for counting clusters labeled for pSer129 alpha-synuclein in mouse upper gastrointestinal tract (intestine). Sections should be stained, mounted, and imaged with high resolution (2048 x 2048 scanning).

    Steps

    1.

    Stain structures for pSer129 and scan with high-resolution (pixel size of 6.25µm).

    2.

    Import the images into ImageJ.

    3.

    Convert to grayscale.

    4.

    Adjust signal intensity to a standardized threshold of 95%. (All thresholds, exposure settings, and laser intensities were applied consistently across all scans).

    5.

    Employ the "Process - Binary - Convert to Mask" function.

    The mask function can be determined using the default method against a black background.

    6.

    Apply a watershed filter to select clusters with similar distribution.

    7.

    Execute the "Analyze Particles" function.

    Size range: 0 to infinity

    Display and summarize results.

    This will extract all clusters including their coordinates and areas.

    8.

    To extract clusters with a size equal to or smaller than 1 pixel (6.25µm²) and clusters identified as artifacts (>15000 µm²), use the Excel COUNTIF function, count the number of small clusters (6.25 to 50 pixels), medium-sized clusters (50 to 200 pixels), and large clusters (>200 pixels).

    9.

    Determine relative density of clusters for the amount of tissue area analyzed.

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