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Automated Multi-Channel Imaging with Nucleus® automated microscopy platform and μManager

By Mike Fussell, Marketing Team

Published on Feb. 08, 2022

Multi-channel imaging is an essential tool for biologists exploring the relationships between discrete structures. This powerful technique can be quickly automated using the Nucleus MVR inverted microscope, and the widely used μManager and ImageJ software packages. Combining these tools provides you with a rapid and extremely cost-effective way to acquire and assemble clear and detailed publication-ready multi-channel fluorescence microscopy images.

Combining multiple single-channel images into a single multi-channel image

Equipment

In this example, we will use modules from the Nucleus automated microscopy platform. Nucleus provides a complete set of interchangeable hardware modules and software tools for building your bespoke inverted or upright standalone microscope or optical subsystem.

Hardware:

  • MVR100E025AC - Motorized inverted microscope.
  • MLR3B-T13A - Microscope reflected illuminator (385, 3000K (white), 625 nm).
  • X-LCA4 - 4-Channel LED Controller.
  • FCR06C - Motorized filter cube turret.

Software:

μManager - An open-source microscopy application developed and maintained by Open Imaging which provides a common control interface for a wide range of instruments.

FIJI - An open source image processing application based on the widely used ImageJ program. The FIJI package comes bundled with all the required dependencies.

Setup

Launch μManager and locate the the Configuration Settings section of the main window (Step 1),

Configuration settings for creating channel groups

Click Group + to create a group (Step 2)

Select the Illuminator-Lamp Intensity for lamps 1-4 and FilterCubeTurrent-State. This will great the basic channel template which will consist of a filter cube and the intensity of the four illuminator channels on the X-LCA4 lighting controller.

Selecting which properties are adjusted for each filter cube

Click OK

The resulting popup window will enable you to create the first channel by selecting the associated illumination and filter cube settings. These will ensure the appropriate LED lamp is illuminated and the correct filter cube is in place for the fluorophore you wish to image.

Once you have entered your desired filter cube and lamp setting, click OK . This will close the window.

Setting individual lamp intensities for each filter cube

To add additional presets for more channels, Click the Preset + (step 3) button and repeat the above steps for the next fluorophore. Once you have created presets for each fluorophore, click Save (step 4).

Image Acquisition

Select Channels to enable multi-channel acquisition

Click New to add the configurations that will be cycled through for each position.

Setting up automated acquisition using previously channel configurations

Exposure adjustment for each channel enables individual channels to be optimized based on the intensity of their fluorescence signals.

Configuring per-channel exposure offsets

Click Acquire! Your images will be acquired as a .tiff image stack. This format contains all images bundled into a single file.

Stack of raw fluorescence images

Image Processing

Processing in ImageJ is required to convert a stack of monochrome single-channel images into a single color composite image.

Open your image stack using the file menu

Select Image > Color > Make Composite

Making a composite image from an image stack in ImageJ

The resulting image will be a composite of the single-channel images in the original stack.

Additional quick adjustments of the initial image (left) can optimize images (right) for display and print. Brightness and contrast settings are useful for setting the appropriate background black level. To switch between adjustments of individual channels, use the scroll bar at the bottom of the image display. Individually adjusting the parameters of each channel can be helpful in optimizing the image, particularly for channels with lower intensity.

Brightness and contrast adjustments using ImageJ

The Sharpen function can improve the rendering of fine details.

Sharpening an image using ImageJ

Basic adjustments can greatly improve an image's clarity. The upper left side of the following image is the initial output. The lower right side has had brightness, contrast, and sharpening corrections applied.

Before and after applying brightness, contrast, and sharpness to the composite image in ImageJ

Once you are happy with your image click File > Save As to save a copy of the processed composite image.