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Learn more about our Windows 7 support and enhancements in Image-Pro Plus & Analyzer 7.0.1.
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Process & Enhance
Use sophisticated image processing and enhancement tools to uncover details within your images.
Imaging Tiling
Tile together a series of images or align sequence images to see a full representation of your research sample.
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Before Tiling |
After Tiling |
Image Alignment
Automatically align either individual or sequence images.
Extended Depth of Field
Create a focused image from a series of unfocused images with Extended Depth of Field.
Filter and Enhance
Choose from a variety of enhancement and edge filters to filter noise and improve image detail.
- Work with Filter dialogs that include descriptions and interactive preview windows
- Use Enhancement filters that include Low-Pass, Hi-Pass, Gaussian, Hi-Gaussian, Sharpen, Flatten, Median,
- Rank, Local Equalization, and De-speckle in user-definable kernel sizes
- Outline objects with various Edge Filter methods including Sobel, Roberts, Laplace, Variance, Phase, Horizontal, and Vertical
- Process objects with Morphological filters including Erode, Dilate, Open, Close, Top Hat, Well, Branch/End,
- Watershed, Thinning, Pruning, Distance, and Reduce in user-definable kernel sizes
- Work with Large Spectral Filters: Fast-acting, large kernel size (up to 4000 x 4000) filters that include Low-Pass, Hi-Pass, Band-Pass, and Edge filters
- Apply filters to individual frames or to entire sequence
- Customize kernel files for morphological and convolution filters
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Original image |
Sobel edge filter applied |
Morphology
Use a wide range of morphological filters to precisely segment structures and prepare images for automatic measurement.
Background Subtraction & Correction
Eliminate background noise and correct uneven backgrounds in your images for improved analysis.
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Original image |
Background subtracted |
New image |
Merge Color Channels
Use the Color Composite feature to merge multiple fluorescent images acquired as monochrome single wavelengths into a color composite image.
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| Composite of tinted gray scale images |
Co-localization
Detect co-localization in biological specimens and graphically display the association between the two sets of data in a scatter plot.
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Detect co-localization in fluorescent images. Mouse fibroblast cells - microtubules stained with FITC, mitochondria stained with Texas Red, nuclei stained with DAPI. |
Pseudo-color
Use pseudo-color to highlight features of interest in a gray scale image. Use colors to visually amplify specific intensities which are normally difficult to distinguish from their surroundings.
Fast Fourier Transforms
Perform forward and inverse Fast Fourier Transforms (FFTs) to eliminate artifacts.
- Edit the spectrum directly including Low-Pass, High-Pass, un-sharpen, spike cut, and spike boost
- Save and reload data
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