Evidence map›Paper›PMID 33679449›Full record

ArticleFrontiers in physiology2021

Multiscale and Multimodal Optical Imaging of the Ultrastructure of Human Liver Biopsies.

Cihang Kong, Stefanie Bobe, Christian Pilger, Mario Lachetta, Cristina Ionica Øie, Nils Kirschnick, Viola Mönkemöller, Wolfgang Hübner, Christine Förster, Mark Schüttpelz and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. The wHole Story About Fenestrations in LSEC.Frontiers in physiology · 2021
    Review
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

13 authors at 4 institutions in 2 countries.

Cihang KongDepartment of Physics, Bielefeld University, Bielefeld, Germany.
Stefanie BobeEuropean Institute for Molecular Imaging, University of Münster, Münster, Germany.
Christian PilgerDepartment of Physics, Bielefeld University, Bielefeld, Germany.
Mario LachettaDepartment of Physics, Bielefeld University, Bielefeld, Germany.
Cristina Ionica ØieVascular Biology Research Group, Department of Medical Biology, University of Tromsø - The Arctic University of Norway, Tromsø, Norway.
Nils KirschnickEuropean Institute for Molecular Imaging, University of Münster, Münster, Germany.
Viola MönkemöllerDepartment of Physics, Bielefeld University, Bielefeld, Germany.
Wolfgang HübnerDepartment of Physics, Bielefeld University, Bielefeld, Germany.
Christine FörsterForschungsverbund BioMedizin Bielefeld (FBMB), Bielefeld, Germany.
Mark SchüttpelzDepartment of Physics, Bielefeld University, Bielefeld, Germany.
Friedemann KieferEuropean Institute for Molecular Imaging, University of Münster, Münster, Germany.
Thomas HuserDepartment of Physics, Bielefeld University, Bielefeld, Germany.
Jan Schulte Am EschForschungsverbund BioMedizin Bielefeld (FBMB), Bielefeld, Germany.
Bielefeld University · DEUniversity of Münster · DEEvangelisches Krankenhaus Bielefeld · DEUiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver as the largest organ in the human body is composed of a complex macroscopic and microscopic architecture that supports its indispensable function to maintain physiological homeostasis. Optical imaging of the human liver is particularly challenging because of the need to cover length scales across 7 orders of magnitude (from the centimeter scale to the nanometer scale) in order to fully assess the ultrastructure of the entire organ down to the subcellular scale and probe its physiological function. This task becomes even more challenging the deeper within the organ one hopes to image, because of the strong absorption and scattering of visible light by the liver. Here, we demonstrate how optical imaging methods utilizing highly specific fluorescent labels, as well as label-free optical methods can seamlessly cover this entire size range in excised, fixed human liver tissue and we exemplify this by reconstructing the biliary tree in three-dimensional space. Imaging of tissue beyond approximately 0.5 mm length requires optical clearing of the human liver. We present the successful use of optical projection tomography and light-sheet fluorescence microscopy to derive information about the liver architecture on the millimeter scale. The intermediate size range is covered using label-free structural and chemically sensitive methods, such as second harmonic generation and coherent anti-Stokes Raman scattering microscopy. Laser-scanning confocal microscopy extends the resolution to the nanoscale, allowing us to ultimately image individual liver sinusoidal endothelial cells and their fenestrations by super-resolution structured illumination microscopy. This allowed us to visualize the human hepatobiliary system in 3D down to the cellular level, which indicates that reticular biliary networks communicate with portal bile ducts via single or a few ductuli. Non-linear optical microscopy enabled us to identify fibrotic regions extending from the portal field to the parenchyma, along with microvesicular steatosis in liver biopsies from an older patient. Lastly, super-resolution microscopy allowed us to visualize and determine the size distribution of fenestrations in human liver sinusoidal endothelial cells for the first time under aqueous conditions. Thus, this proof-of-concept study allows us to demonstrate, how, in combination, these techniques open up a new chapter in liver biopsy analysis.

Indexed as

coherent Raman scattering microscopylight-sheet fluorescence microscopyliver biologyliver morphologyliver sinusoidal endothelial cells.liver sinusoidssuper-resolution optical microscopy

Identifiers

PMID33679449
PMCPMC7925637
OpenAlexW3130207755

What OpenQuestion holds

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Registered trials

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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.