Evidence map›Paper›PMID 34782474›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Multimodal on-chip nanoscopy and quantitative phase imaging reveals the nanoscale morphology of liver sinusoidal endothelial cells.

Ankit Butola, David A Coucheron, Karolina Szafranska, Azeem Ahmad, Hong Mao, Jean-Claude Tinguely, Peter McCourt, Paramasivam Senthilkumaran, Dalip Singh Mehta, Krishna Agarwal and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Ankit ButolaDepartment of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway.ORCID 0000-0001-7847-7173
David A CoucheronDepartment of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway.
Karolina SzafranskaFaculty of Health Sciences, Department of Medical Biology, Vascular Biology Research Group, UiT The Arctic University of Norway, Tromsø 9037, Norway.ORCID 0000-0001-5852-2109
Azeem AhmadDepartment of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway.
Hong MaoDepartment of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway.
Jean-Claude TinguelyDepartment of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway.
Peter McCourtFaculty of Health Sciences, Department of Medical Biology, Vascular Biology Research Group, UiT The Arctic University of Norway, Tromsø 9037, Norway.
Paramasivam SenthilkumaranBio-photonics and Green Photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi 110016, India.
Dalip Singh MehtaBio-photonics and Green Photonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, New Delhi 110016, India.
Krishna AgarwalDepartment of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway.
Balpreet Singh AhluwaliaDepartment of Physics and Technology, Universitetet i Tromsø (UiT) The Arctic University of Norway, 9037 Tromsø, Norway; balpreet.singh.ahluwalia@uit.no.ORCID 0000-0001-7841-6952
UiT The Arctic University of Norway · NOIndian Institute of Technology Delhi · INKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visualization of three-dimensional (3D) morphological changes in the subcellular structures of a biological specimen is a major challenge in life science. Here, we present an integrated chip-based optical nanoscopy combined with quantitative phase microscopy (QPM) to obtain 3D morphology of liver sinusoidal endothelial cells (LSEC). LSEC have unique morphology with small nanopores (50-300 nm in diameter) in the plasma membrane, called fenestrations. The fenestrations are grouped in discrete clusters, which are around 100 to 200 nm thick. Thus, imaging and quantification of fenestrations and sieve plate thickness require resolution and sensitivity of sub-100 nm along both the lateral and the axial directions, respectively. In chip-based nanoscopy, the optical waveguides are used both for hosting and illuminating the sample. The fluorescence signal is captured by an upright microscope, which is converted into a Linnik-type interferometer to sequentially acquire both superresolved images and phase information of the sample. The multimodal microscope provided an estimate of the fenestration diameter of 119 ± 53 nm and average thickness of the sieve plates of 136.6 ± 42.4 nm, assuming the constant refractive index of cell membrane to be 1.38. Further, LSEC were treated with cytochalasin B to demonstrate the possibility of precise detection in the cell height. The mean phase value of the fenestrated area in normal and treated cells was found to be 161 ± 50 mrad and 109 ± 49 mrad, respectively. The proposed multimodal technique offers nanoscale visualization of both the lateral size and the thickness map, which would be of broader interest in the fields of cell biology and bioimaging.

Indexed as

AnimalsCell MembraneEndothelial CellsEndotheliumFluorescenceHepatocytesImaging, Three-DimensionalLiverMaleMiceMice, Inbred C57BLMicroscopyRatsRats, Sprague-Dawleybioimagingliver sinusoidal endothelial cellson-chip nanoscopysuperresolution microscopy

Identifiers

PMID34782474
PMCPMC8617407
OpenAlexW3214111514

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.