Exploring the 3D architecture of brain tissue using digital holographic microscopy

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Authors: Dennis Scheidt, Alejandro V. Arzola, Luisa del Carmen García, Claudio Ramírez, Katrin Amunts, Markus Axer
Cited by: 1
References: 56

Abstract

To understand the complexity of the brain, it is necessary to study its microscopic neuronal architecture and densely packed nerve fibre networks. Techniques based on histological sectioning and staining are often used for this purpose. But they can obscure or destroy valuable information and often require extensive computational post-processing for analyzing histological images. Digital holographic microscopy (DHM) enables phase and volumetric imaging. It is a promising alternative to imaging transparent biological samples with minimal preparation and high resolution. The presented study introduces DHM to image the amplitude and phase of rat brain tissue using the double-sideband (DSB) filtering technique, while reducing phase artifacts through the incorporation of unfiltered holograms into the reconstruction formalism. Combining the reconstructed complex-valued hologram with digital processing and digitally synthesized dark-field and phase contrast filtering – including the computational evaluation of light propagation and autofocusing criteria – enhances two-dimensional structural visualisation and reveals volumetric features. This approach successfully resolves the three-dimensional arrangement of crossing fibre bundles from a single acquired hologram through indirect, depth-resolved localization, which is challenging in many imaging applications. Finally, the technique is shown to be scalable, enabling full brain section scanning while supporting a compact, intrinsically multimodal imaging setup.

Fields of Study & Subjects

Digital Holography and Microscopy Random lasers and scattering media Advanced Optical Imaging Technologies

Publication details

Journal / source
Biomedical Optics Express
Publisher
Optica Publishing Group
Volume
17
Issue
3
Pages
1293–1293
Publication date
19 January 2026
Language
EN