Evidence map›Paper›PMID 37771915›Full record

ArticlebioRxiv : the preprint server for biology2024

Photoemission electron microscopy for connectomics.

Kevin M Boergens, Gregg Wildenberg, Ruiyu Li, Lola Lambert, Amin Moradi, Guido Stam, Rudolf Tromp, Sense Jan van der Molen, Sarah B King, Narayanan Kasthuri

Open access · greenAbstract readPreprint
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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Kevin M Boergens
Ruiyu Li
Lola Lambert
Amin Moradi
Guido Stam
Rudolf Tromp
Sense Jan van der Molen
Sarah B King
Narayanan Kasthuri
Leiden University · NLUniversity of Chicago · USArgonne National Laboratory · USUniversity of Illinois Urbana-Champaign · US

Funding

University of Chicago Neuroscience Early Stage Scientist Training ProgramR25NS117360 · NINDS · UNIVERSITY OF CHICAGO · PI MASON, PEGGY, SCHWARTZ, NANCY B · 2020 to 2024
$1.3M
NINDS NIH HHS R25 NS117360
6 · The paper itself

Abstract

Detailing the physical basis of neural circuits with large-volume serial electron microscopy (EM), 'connectomics', has emerged as an invaluable tool in the neuroscience armamentarium. However, imaging synaptic resolution connectomes is currently limited to either transmission electron microscopy (TEM) or scanning electron microscopy (SEM). Here, we describe a third way, using photoemission electron microscopy (PEEM) which illuminates ultra-thin brain slices collected on solid substrates with UV light and images the photoelectron emission pattern with a wide-field electron microscope. PEEM works with existing sample preparations for EM and routinely provides sufficient resolution and contrast to reveal myelinated axons, somata, dendrites, and sub-cellular organelles. Under optimized conditions, PEEM provides synaptic resolution; and simulation and experiments show that PEEM can be transformatively fast, at Gigahertz pixel rates. We conclude that PEEM imaging leverages attractive aspects of SEM and TEM, namely reliable sample collection on robust substrates combined with fast wide-field imaging, and could enable faster data acquisition for next-generation circuit mapping.

Identifiers

PMID37771915
PMCPMC10525389
OpenAlexW4386468591

What OpenQuestion 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 OpenQuestion graph.