ArticlePLoS computational biology2016
Creating High-Resolution Multiscale Maps of Human Tissue Using Multi-beam SEM.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed.
- Reclaiming Anatomy as Method: From Morphological Reasoning to Clinical Relevance.Clinical anatomy (New York, N.Y.) · 2026Review
- Who's afraid of synthetic data? Hybrid approaches to deliver medical digital twins.Informatics in medicine unlocked · 2026Article
- Multiscale segmentation using hierarchical phase-contrast tomography and deep learning.PLoS computational biology · 2026Article
- Rivers of Tears - Convergent, Multi-Scale Approaches to Monitor and Optimize the Health of Our World's Inhabitants.Global challenges (Hoboken, NJ) · 2026Article
- Article
- Key Aspects in Designing High-Throughput Workflows in Electrocatalysis Research: A Case Study on IrCo Mixed-Metal Oxides.ACS materials letters · 2024Article
- Morphomics via next-generation electron microscopy.Journal of molecular cell biology · 2024Review
- A macro-nano-atomic-scale high-throughput approach for material research.Science advances · 2021Article
- Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography.Nature methods · 2021Article
- Multiscale three-dimensional imaging of intact human organs down to the cellular scale using hierarchical phase-contrast tomography.bioRxiv : the preprint server for biology · 2021Article
- Connectomics of Bone to Brain-Probing Physical Renderings of Cellular Experience.Frontiers in physiology · 2021Article
- Unobstructed Multiscale Imaging of Tissue Sections for Ultrastructural Pathology Analysis by Backscattered Electron Scanning Microscopy.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2020Article
- Electron Microscopy Sample Preparation Protocol Enabling Nano-to-mesoscopic Mapping of Cellular Connectomes and Their Habitats in Human Tissues and Organs.Bio-protocol · 2019Article
- Article
- Prospective Design, Rapid Prototyping, and Testing of Smart Dressings, Drug Delivery Patches, and Replacement Body Parts Using Microscopy Aided Design and ManufacturE (MADAME).Frontiers in medicine · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multi-beam scanning electron microscopy (mSEM) enables high-throughput, nano-resolution imaging of macroscopic tissue samples, providing an unprecedented means for structure-function characterization of biological tissues and their cellular inhabitants, seamlessly across multiple length scales. Here we describe computational methods to reconstruct and navigate a multitude of high-resolution mSEM images of the human hip. We calculated cross-correlation shift vectors between overlapping images and used a mass-spring-damper model for optimal global registration. We utilized the Google Maps API to create an interactive map and provide open access to our reconstructed mSEM datasets to both the public and scientific communities via our website www.mechbio.org. The nano- to macro-scale map reveals the tissue's biological and material constituents. Living inhabitants of the hip bone (e.g. osteocytes) are visible in their local extracellular matrix milieu (comprising collagen and mineral) and embedded in bone's structural tissue architecture, i.e. the osteonal structures in which layers of mineralized tissue are organized in lamellae around a central blood vessel. Multi-beam SEM and our presented methodology enable an unprecedented, comprehensive understanding of health and disease from the molecular to organ length scale.
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Registered trials
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.