Ray-based extraction of 5D optical information using a uni-form light transformation framework.

Area of Science:

• Microscopy and optical imaging
• Biophysics
• Computational imaging

Background:

• Conventional microscopy struggles with extracting 5D ray information (spatial and angular) from focal stacks.
• Dense or scattering conditions in biological samples obscure detailed structural and directional information.

Purpose of the Study:

• To present a deterministic and intuitive forward framework for extracting five-dimensional (5D) ray information from conventional focal stacks.
• To enable robust extraction of directional and depth-resolved structure, even under dense or scattering conditions.

Main Methods:

• Developed uni-form light transformation (ULT), a forward framework for processing 2D image focal stacks.
• ULT transforms focal images to isolate optical contributions from selected locations, maintaining shape and brightness.
• Validated the approach using widefield fluorescence microscopy data of *C. elegans*.

Main Results:

• Demonstrated robust extraction of directional and depth-resolved structure.
• Achieved improved structural preservation compared to conventional deconvolution methods.
• Enabled better angular occlusion interpretation and viewpoint-resolved imaging.

Conclusions:

• The uni-form light transformation (ULT) framework provides an effective method for 5D ray information extraction from focal stacks.
• ULT offers significant advantages in structural preservation and directional analysis, particularly in challenging imaging scenarios.
• This technique advances capabilities in biological imaging and structural analysis.