Evidence map›Paper›PMID 29630046›Full record

ArticleJournal of visualized experiments : JoVE2018

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes.

Irene U Wacker, Lisa Veith, Waldemar Spomer, Andreas Hofmann, Marlene Thaler, Stefan Hillmer, Ulrich Gengenbach, Rasmus R Schröder

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Volume electron microscopy: analyzing the lung.Histochemistry and cell biology · 2021
    Review
  3. Review
  4. 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 · 2020
    Article
  5. Article
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 at 3 institutions in 2 countries.

Irene U WackerCryo Electron Microscopy, Centre for Advanced Materials, Universität Heidelberg; Heidelberg Karlsruhe Research Partnership (HEiKA); irene.wacker@bioquant.uni-heidelberg.de.
Lisa VeithCryo Electron Microscopy, BioQuant, Universitätsklinikum Heidelberg.
Waldemar SpomerHeidelberg Karlsruhe Research Partnership (HEiKA); Institute for Automation and Applied Computer Science, Karlsruhe Institute of Technology (KIT).
Andreas HofmannHeidelberg Karlsruhe Research Partnership (HEiKA); Institute for Automation and Applied Computer Science, Karlsruhe Institute of Technology (KIT).
Marlene ThalerCarl Zeiss Microscopy GmbH.
Stefan HillmerElectron Microscopy Core Facility, Universität Heidelberg.
Ulrich GengenbachHeidelberg Karlsruhe Research Partnership (HEiKA); Institute for Automation and Applied Computer Science, Karlsruhe Institute of Technology (KIT).
Rasmus R SchröderCryo Electron Microscopy, Centre for Advanced Materials, Universität Heidelberg; Heidelberg Karlsruhe Research Partnership (HEiKA); Cryo Electron Microscopy, BioQuant, Universitätsklinikum Heidelberg.
Heidelberg University · DECarl Zeiss (Germany) · DEUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeting specific cells at ultrastructural resolution within a mixed cell population or a tissue can be achieved by hierarchical imaging using a combination of light and electron microscopy. Samples embedded in resin are sectioned into arrays consisting of ribbons of hundreds of ultrathin sections and deposited on pieces of silicon wafer or conductively coated coverslips. Arrays are imaged at low resolution using a digital consumer like smartphone camera or light microscope (LM) for a rapid large area overview, or a wide field fluorescence microscope (fluorescence light microscopy (FLM)) after labeling with fluorophores. After post-staining with heavy metals, arrays are imaged in a scanning electron microscope (SEM). Selection of targets is possible from 3D reconstructions generated by FLM or from 3D reconstructions made from the SEM image stacks at intermediate resolution if no fluorescent markers are available. For ultrastructural analysis, selected targets are finally recorded in the SEM at high-resolution (a few nanometer image pixels). A ribbon-handling tool that can be retrofitted to any ultramicrotome is demonstrated. It helps with array production and substrate removal from the sectioning knife boat. A software platform that allows automated imaging of arrays in the SEM is discussed. Compared to other methods generating large volume EM data, such as serial block-face SEM (SBF-SEM) or focused ion beam SEM (FIB-SEM), this approach has two major advantages: (1) The resin-embedded sample is conserved, albeit in a sliced-up version. It can be stained in different ways and imaged with different resolutions. (2) As the sections can be post-stained, it is not necessary to use samples strongly block-stained with heavy metals to introduce contrast for SEM imaging or render the tissue blocks conductive. This makes the method applicable to a wide variety of materials and biological questions. Particularly prefixed materials e.g., from biopsy banks and pathology labs, can directly be embedded and reconstructed in 3D.

Indexed as

HumansMicroscopy, Electron, ScanningMicroscopy, FluorescenceMultimodal Imaging

Identifiers

PMID29630046
PMCPMC5933231
OpenAlexW2791388683

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.