Evidence map›Paper›PMID 41970589›Full record

ArticleBiomedical optics express2026

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

Dennis Scheidt, Alejandro V Arzola, Luisa Del Carmen García, Claudio Narciso Rámirez, Katrin Amunts, Markus Axer

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dennis ScheidtInstitute for Neuroscience and Medicine 1, Juelich Research Center, Willhelm-Johnen-Straße, Juelich, 52428, Germany.ORCID https://orcid.org/0009-0008-1035-9574
Alejandro V ArzolaInstituto de Física, Universidad Nacional Autónoma de México, C.P. 04510, Cd. de México, Mexico.ORCID https://orcid.org/0000-0002-4860-6330
Luisa Del Carmen GarcíaInstituto de Física, Universidad Nacional Autónoma de México, C.P. 04510, Cd. de México, Mexico.
Claudio Narciso RámirezIntituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México, C.P. 04510, Cd. de México, Mexico.
Katrin AmuntsInstitute for Neuroscience and Medicine 1, Juelich Research Center, Willhelm-Johnen-Straße, Juelich, 52428, Germany.
Markus AxerInstitute for Neuroscience and Medicine 1, Juelich Research Center, Willhelm-Johnen-Straße, Juelich, 52428, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID41970589
PMCPMC13068420

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.