Evidence map›Paper›PMID 37168225›Full record

ArticleFrontiers in physiology2023

Serial intravital 2-photon microscopy and analysis of the kidney using upright microscopes.

Donato Sardella, Anders M Kristensen, Luca Bordoni, Hanne Kidmose, Ali Shahrokhtash, Duncan S Sutherland, Sebastian Frische, Ina Maria Schiessl

Abstract read
In one paragraph

Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

8 authors.

Donato SardellaDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Anders M KristensenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Luca BordoniDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Hanne KidmoseDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Ali ShahrokhtashInterdisciplinary Nanoscience Center, Aarhus University, Aarhus, Denmark.
Duncan S SutherlandInterdisciplinary Nanoscience Center, Aarhus University, Aarhus, Denmark.
Sebastian FrischeDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Ina Maria SchiesslDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serial intravital 2-photon microscopy of the kidney and other abdominal organs is a powerful technique to assess tissue function and structure simultaneously and over time. Thus, serial intravital microscopy can capture dynamic tissue changes during health and disease and holds great potential to characterize (patho-) physiological processes with subcellular resolution. However, successful image acquisition and analysis require significant expertise and impose multiple potential challenges. Abdominal organs are rhythmically displaced by breathing movements which hamper high-resolution imaging. Traditionally, kidney intravital imaging is performed on inverted microscopes where breathing movements are partly compensated by the weight of the animal pressing down. Here, we present a custom and easy-to-implement setup for intravital imaging of the kidney and other abdominal organs on upright microscopes. Furthermore, we provide image processing protocols and a new plugin for the free image analysis software FIJI to process multichannel fluorescence microscopy data. The proposed image processing pipelines cover multiple image denoising algorithms, sample drift correction using 2D registration, and alignment of serial imaging data collected over several weeks using landmark-based 3D registration. The provided tools aim to lower the barrier of entry to intravital microscopy of the kidney and are readily applicable by biomedical practitioners.

Indexed as

3D printinganimal holderbioimage analysisdeep learningimage denoisingimage registrationintravital microscopy (IVM)multiphoton microcopy

Identifiers

PMID37168225
PMCPMC10164931

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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.