Volume Electron Microscopy of Cortical Organoids: Methods for Region Identification, Connectome Reconstruction, and Organelle Segmentation

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

Volume electron microscopy (vEM) has become a powerful tool for 3D ultrastructural analysis of neural circuits, yet its application to human brain organoids remains limited, particularly for connectomic studies. Here, we established a comprehensive and scalable workflow for applying vEM to human cortical organoids, integrating correlative light and electron microscopy, large-area SEM mosaic imaging, focused ion beam–scanning electron microscopy (FIB-SEM), and transmission electron microscopy (TEM) validation. By systematically comparing two embedding protocols in use, we demonstrated that the DeFelipe and Fairén (1993)/Cano-Astorga et al. (2024) method provides optimal compatibility with toluidine blue–stained semithin sectioning and enables reliable synapse segmentation and neurite tracing. In contrast, the Deerinck et al. (2010) protocol offers enhanced membrane contrast but limits postsynaptic density visualization. Using FIB-SEM imaging of peripheral, neuropil-like regions of cortical organoids, we achieved accurate 3D reconstruction of synapses, neurites and intracellular organelles, enabling quantitative assessment of synaptic apposition surfaces, neurite trajectories, and organelle distribution across defined cellular compartments. Together, our results demonstrate for the first time the feasibility of micro-connectomic reconstruction in human cortical organoids at nanometer resolution. This methodological framework expands the applicability of vEM to organoid systems and provides a robust foundation for future studies of human brain development, disease modeling, and therapeutic evaluation at the synaptic and subcellular level.
Full text 1,750 characters · extracted from oa-doi-fallback · click to expand
Abstract Volume electron microscopy (vEM) has become a powerful tool for 3D ultrastructural analysis of neural circuits, yet its application to human brain organoids remains limited, particularly for connectomic studies. Here, we established a comprehensive and scalable workflow for applying vEM to human cortical organoids, integrating correlative light and electron microscopy, large-area SEM mosaic imaging, focused ion beam–scanning electron microscopy (FIB-SEM), and transmission electron microscopy (TEM) validation. By systematically comparing two embedding protocols in use, we demonstrated that the DeFelipe and Fairén (1993)/Cano-Astorga et al. (2024) method provides optimal compatibility with toluidine blue–stained semithin sectioning and enables reliable synapse segmentation and neurite tracing. In contrast, the Deerinck et al. (2010) protocol offers enhanced membrane contrast but limits postsynaptic density visualization. Using FIB-SEM imaging of peripheral, neuropil-like regions of cortical organoids, we achieved accurate 3D reconstruction of synapses, neurites and intracellular organelles, enabling quantitative assessment of synaptic apposition surfaces, neurite trajectories, and organelle distribution across defined cellular compartments. Together, our results demonstrate for the first time the feasibility of micro-connectomic reconstruction in human cortical organoids at nanometer resolution. This methodological framework expands the applicability of vEM to organoid systems and provides a robust foundation for future studies of human brain development, disease modeling, and therapeutic evaluation at the synaptic and subcellular level. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-24T02:00:01.246996+00:00
License: CC-BY-4.0