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caMicroscope is a tool to view, annotate, and analyze whole-slide, biomedical images. It manages digital pathology images, associated clinical and imaging metadata, and human/machine generated annotations and markups. It also allows you to view and analyze nuclear segmentations of images. 

This guide explains how to do the following tasks in caMicroscope:

Opening caMicroscope

  1. Use the Chrome browser to navigate to https://wolf.cci.emory.edu/vtr_pending.  
    The Sign In page appears.

    SEER VTR Microscope login window showing a Log in with Google option and a username and password option, Don't remember your password link, and a log in button. A Sign Up tab is grayed out.
  2. Use your Google credentials to sign in to caMicroscope.
    The caMicroscope site appears.
  3. Select the Breast Cancer Genomic Pilot, Virtual Tissue Repository (VTR) Pending Slides, or Pancreatic Ductal Adenocarcinoma (PDAC) caMicroscope database of images by clicking either the large slide image or the More button. 
    A table appears that lists all whole-slide images for the selected database that you are authorized to view.
  4. In the table, click the Open button for any row.
    The slide opens in caMicroscope.

    To select a different image, click the Back button in your browser to return to the table.

Panning the Slide


Panning allows you to move the image inside the window.


  1. Select an image and view it in caMicroscope.
  2. In the inset window, note the red bounding box. This bounding box is your view of the current image in the main content window.
    (Replace the following image.)
  3. Click your mouse to control the bounding box and drag it up, down, left, and right to see different parts of the main content window.

Using the caMicroscope Tools

Use the toolbar buttons to manipulate the slide.

Tool

Name

Purpose

Annotations

Opens the Annotations panel, where you can

Layer Manager

Opens the Layers Manager panel, where you can

Home

Return to the data table so that you can open another slide.

Draw

Draw thin lines, thick lines, or polygons on the image.

MagnifierThe Magnifier works like a magnifying glass and allows you to see the slide at normal magnification (1.0), low magnification (0.5), or high magnification (2.0). Click a magnification level and place the bounding box on the area of the slide you want to magnify.

Measurement

Share View

Side by Side Viewer

Heat Map

Labeling

Segment

Bug Report

Reviewed




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Filtering Markups

You can filter your view of the markups on the images in caMicroscope by an area based on one or more selected algorithms. The algorithms available in caMicroscope have been run against the full set of images.

To filter markups

  1. Click the Filter Markups button.
    The Select Algorithm box appears.
  2. Click the box to the left of each algorithm you want to select.
    caMicroscope runs the algorithm(s) against each image in the dataset. This can take some time. The markups appear in the color noted in the Select Algorithm box. You may have to zoom in and pan the image to see all markups.

Analyzing Images

To analyze images

  1. Log in to caMicroscope and then click the icon for FeatureScape.

    The SlideSelect page appears.
  2. From the drop-down list, select an analysis set containing images you want to view and explore. The analysis sets are analyses that have been run on the entire dataset. The diagnostic images within an analysis set have been analyzed with the algorithm named in the analysis set.
  3. Click a link in the caMicroscope column to view the diagnostic image in caMicroscope.
  4. Click the Explore Features button in the row of an image you want to explore.

    A plot of cross-tabulated feature correlations appears.

    NOTE: The heat map shown in the cross-tabulation is a sampling of over a million segmented objects in the dataset.
  5. Hover your mouse over the colored pixels in the feature correlations. Each pixel is a single segmented object. The features that intersect at each pixel are highlighted in yellow, the intersected pixel is outlined in orange and filled with an X, and the feature names appear in a popup window.

    NOTE: The colors in the heat map show how high or low the correlations between intersecting features are. The orange shows the pixels of highest correlation. The orange diagonal line shows where features are identical on both axes.
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