BigStitcher

BigStitcher reconstructs high-resolution volumetric microscopy datasets by assembling and correcting multi-tile, multi-angle image tiles from light-sheet, widefield, and confocal acquisitions of cleared and expanded samples for downstream biological analysis.

Key Features:

• Alignment Capabilities: Aligns multi-tile and multi-angle three-dimensional image datasets acquired with light-sheet, widefield, and confocal microscopes, including terabyte-scale volumes.
• Fast and Precise Alignment: Performs rapid and accurate registration of image tiles and views to preserve resolution in reconstructed volumes.
• Real-Time Fusion and Deconvolution: Supports real-time fusion and deconvolution of dual-illumination, multitile, and multiview datasets.
• Spatially Resolved Quality Estimation: Provides spatially resolved quality metrics to assess alignment and reconstruction fidelity.
• Compensation for Optical Effects: Compensates for optical distortions introduced during image acquisition.
• Integration with ImgLib2/BDV: Implements image-processing and reconstruction algorithms within the ImgLib2/BigDataViewer (BDV) framework for large-dataset handling.

Scientific Applications:

• Cleared and Expanded Sample Reconstruction: Reconstruction and assembly of terabyte-scale cleared and expanded tissue datasets acquired by light-sheet microscopy.
• Multiview Fusion for High-Resolution Imaging: Fusion and deconvolution of dual-illumination and multiview datasets to enhance structural detail in volumetric images.
• Quality-Assured Downstream Analysis: Production of high-fidelity reconstructed volumes with spatial quality estimation to support subsequent biological analysis.

Methodology:

Integrates image-processing and reconstruction algorithms within the ImgLib2/BigDataViewer (BDV) framework.