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Intensify3D: Normalizing signal intensity in large heterogenic image stacks.
Nadav Yayon1,2, Amir Dudai2,3, Nora Vrieler2,3
1Department of Biological Chemistry, The Life Sciences Institute, The Hebrew University of Jerusalem, Jerusalem, Israel.
Scientific Reports
|March 11, 2018
Summary
Intensify3D is a new algorithm that improves 3D fluorescence microscopy image analysis by normalizing signal variability. This tool enhances visualization and quantification of biological structures in various tissues and microscopy techniques.
Area of Science:
- Biological Imaging
- Microscopy
- Computational Biology
Background:
- Large 3D image stacks from fluorescence microscopy are crucial for biological studies.
- Signal variability across and between samples complicates data analysis.
- Existing methods struggle with common heterogeneities in imaging data.
Purpose of the Study:
- To introduce Intensify3D, a user-guided normalization algorithm for 3D fluorescence microscopy.
- To address signal heterogeneities in large image stacks.
- To improve the analysis and quantification of 3D biological structures.
Main Methods:
- Development of a user-guided normalization algorithm named Intensify3D.
- Application of Intensify3D to 2-Photon and Light-Sheet fluorescence microscopy data.
- Testing on adult murine brain, mammary gland, and heart tissues.
Main Results:
- Intensify3D enhanced 3D visualization across all tested samples.
- Improved feature extraction of cortical interneurons in 2-Photon microscopy.
- Enabled identification of cortical barrel fields and quantification of somata in cleared brains using Light-Sheet microscopy.
- Enhanced signal-to-noise separation.
Conclusions:
- Intensify3D is a universally applicable method for improving 3D fluorescence microscopy.
- The algorithm facilitates the detection and quantification of 3D biological structures.
- Intensify3D adds value to a wide range of imaging experiments.
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