VolumeSlider
VolumeSlider is a powerful plugin for Flika, a Python-based image processing suite designed for bioimaging applications. This plugin specializes in the visualization, manipulation, and analysis of multi-dimensional image data, particularly 3D volumes and time se
Overview
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Documentation
VolumeSlider Plugin for Flika
Overview
VolumeSlider is a powerful plugin for Flika, a Python-based image processing suite designed for bioimaging applications. This plugin specializes in the visualization, manipulation, and analysis of multi-dimensional image data, particularly 3D volumes and time series data commonly generated in light sheet microscopy and other volumetric imaging techniques.
Features
- Multi-dimensional Data Visualization: Easily navigate through 3D volumetric data and time series.
- Orthogonal View Display: Simultaneously view XY, XZ, and YZ planes of your volumetric data.
- Data Transformation: Apply shear transformations to correct for light sheet angular distortions.
- Overlay Capabilities: Compare multiple datasets by overlaying them with adjustable opacity and blending modes.
- ROI Analysis: Analyze regions of interest with line profile tools and cross-sectional views.
- DF/F0 Calculation: Calculate and visualize ratio changes for time series data.
- 3D Visualization: View your data in 3D using scatter plots, texture plots, and volume rendering.
- Export Options: Export data to various formats including Numpy arrays and Imaris (.ims) files.
- Batch Processing: Process multiple files with consistent parameters for high-throughput analysis.
Installation
Prerequisites
- Flika (latest version)
- Python 3.6+
- Required packages: numpy, PyQt5/PySide2, pyqtgraph, matplotlib, scikit-image, h5py, OpenGL
Setup
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Clone this repository into your Flika plugins directory:
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Start Flika and the plugin should appear in the plugins menu.
Usage
Getting Started
- Launch the Plugin: From Flika's menu, select
Plugins → VolumeSlider → VolumeSlider - Load Data: Choose to work with the current active wi
[View full README on GitHub]