Evidence map›Paper›PMID 38895398›Full record

ArticlebioRxiv : the preprint server for biology2024

Scalable electron tomography for connectomics.

Aaron T Kuan, Sébastien Phan, Keun-Young Kim, Mason Mackey, Minsu Kim, Steven T Peltier, Mark Ellisman, Wei-Chung Allen Lee

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Aaron T KuanDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1908-7949
Sébastien PhanNational Center for Microscopy and Imaging Research, Center for Research in Biological Systems, University of California, San Diego, CA, USA.
Keun-Young KimNational Center for Microscopy and Imaging Research, Center for Research in Biological Systems, University of California, San Diego, CA, USA.
Mason MackeyNational Center for Microscopy and Imaging Research, Center for Research in Biological Systems, University of California, San Diego, CA, USA.
Minsu KimDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.
Steven T PeltierNational Center for Microscopy and Imaging Research, Center for Research in Biological Systems, University of California, San Diego, CA, USA.
Mark EllismanNational Center for Microscopy and Imaging Research, Center for Research in Biological Systems, University of California, San Diego, CA, USA.ORCID 0000-0001-8893-8455
Wei-Chung Allen LeeDepartment of Neurobiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-4618-295X

Funding

National Center for Microscopy and Imaging Research: A BRAIN Technology Integration and Dissemination ResourceU24NS120055 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELLISMAN, MARK H · 2021 to 2025
$5.4M
Scalable electron tomography for connectomicsRF1MH129261 · NIMH · HARVARD MEDICAL SCHOOL · PI ELLISMAN, MARK H, LEE, WEI-CHUNG ALLEN · 2022 to 2022
$2.9M
Brain-wide Neuronal Circuit Mapping with X-ray Nano-HolographyK99EB032217 · NIBIB · HARVARD MEDICAL SCHOOL · PI KUAN, AARON · 2021 to 2022
$180k
NIBIB NIH HHS K99 EB032217NIMH NIH HHS RF1 MH129261NINDS NIH HHS U24 NS120055
6 · The paper itself

Abstract

We demonstrate limited-tilt, serial section electron tomography (ET), which can non-destructively map brain circuits over large 3D volumes and reveal high-resolution, supramolecular details within subvolumes of interest. We show accelerated ET imaging of thick sections (>500 nm) with the capacity to resolve key features of neuronal circuits including chemical synapses, endocytic structures, and gap junctions. Furthermore, we systematically assessed how imaging parameters affect image quality and speed to enable connectomic-scale projects.

Identifiers

PMID38895398
PMCPMC11185748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.