Evidence map›Paper›PMID 41127315›Full record

ArticleBone reports2025

A novel workflow for 3D imaging and spatial analysis of nerves in bone.

Allison L Horenberg, Eric Z Zeng, Yunke Ren, Tanishk Sinha, Emith Uyanwatte, Melia Matthews, Erica L Scheller, Karl J Lewis, Arvind P Pathak, Warren L Grayson

Abstract read
In one paragraph

Article in Bone reports, 2025. 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

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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

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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
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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

10 authors.

Allison L HorenbergDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Eric Z ZengDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yunke RenDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Tanishk SinhaDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Emith UyanwatteMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Melia MatthewsMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Erica L SchellerDepartment of Medicine, Division of Bone and Mineral Diseases, Washington University, Saint Louis, MO, USA.
Karl J LewisMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Arvind P PathakDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Warren L GraysonDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral sensory and sympathetic nerves innervating bony tissues are of interest for their role in modulating bone function and responding to physiologic stimuli. However, due to their filamentous structure and small diameter, peripheral nerves are difficult to visualize and characterize in dense tissues such as bone. Recent advances in imaging have resulted in novel techniques to reconstruct the 3D bone microenvironment following fluorescent staining, using methods such as whole-mount immunostaining, tissue clearing, and lightsheet microscopy (LSM). While these methods have significantly improved visualization of peripheral nerves within the bony skeleton, current practices in skeletal nerve segmentation rely on manual tracing methods that are both subjective and time consuming. Further, due to excess background signal and moderate off-target staining of skeletal nerves, traditional methods for nerve segmentation remain inadequate for effective quantification. Here, we describe a methods-focused workflow for 3D imaging and spatial analysis of nerves in bone that consists of combining LSM with nerve segmentation using the Ilastik® open-source software. First, LSM was used to acquire high-resolution 3D images of nerves in uninjured and injured murine calvaria. Next, we employed Ilastik® to generate accurate segmentations of peripheral nerves in bone. This approach reduced the need for manual segmentation and overcame the limitations of conventional segmentation methods. We then demonstrated the utility of this workflow as a broadly applicable tool, by performing Ilastik®-based segmentation for three distinct skeletal bone contexts (i.e. use cases) with varied bone samples, tissue clearing, processing protocols, inflammatory states, and imaging modalities. Collectively, this workflow enabled the characterization of spatial nerve patterning in bone and has the potential to provide novel insights into spatially regulated phenomena in bone homeostasis, injury, and disease.

Indexed as

BoneCalvarial mappingLightsheet microscopyNerveNeuroskeletalSegmentation

Identifiers

PMID41127315
PMCPMC12538399

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Registered trials

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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 OpenQuestion graph.