Automated computation of nerve fibre inclinations from 3D polarised light imaging measurements of brain tissue

TL;DR

This paper presents an automated, GPU-optimized method for accurately computing 3D nerve fibre inclinations from polarised light imaging data, improving reproducibility and applicability to large brain tissue datasets.

Contribution

The authors develop a novel automated algorithm that enhances the accuracy and speed of nerve fibre inclination measurements from 3D-PLI, adaptable to various tissue types and large datasets.

Findings

Automated inclination computation is faster and more reproducible.

The method works effectively on large, standard 3D-PLI datasets.

It accounts for regional differences in tissue properties.

Abstract

The method 3D polarised light imaging (3D-PLI) measures the birefringence of histological brain sections to determine the spatial course of nerve fibres (myelinated axons). While the in-plane fibre directions can be determined with high accuracy, the computation of the out-of-plane fibre inclinations is more challenging because they are derived from the strength of the birefringence signals (retardation), which depends e.g. on the amount of nerve fibres. One possibility to improve the accuracy is to consider the average transmitted light intensity (transmittance weighting). The current procedure requires effortful manual adjustment of parameters and anatomical knowledge. Here, we introduce an automated, optimised computation of the fibre inclinations, allowing for a much faster, reproducible determination of fibre orientations in 3D-PLI. Depending on the degree of myelination, the algorithm uses different models (transmittance-weighted, unweighted, or a linear combination), allowing to go beyond traditional definitions of white and grey matter and account for regionally specific behaviour. As the algorithm is parallelised and GPU optimised, and uses images from standard 3D-PLI (retardation and transmittance), it can be applied to large data sets, also from previous measurements. The functionality is demonstrated on unstained coronal and sagittal histological sections of vervet monkey and rat brains.