Evidence map›Paper›PMID 39483637›Full record

ArticleChemical & biomedical imaging2024

Fluorescent Water-Soluble Polycationic Chitosan Polymers as Markers for Biological 3D Imaging.

Srishti Vajpayee, Tiziana Picascia, Fabio Casciano, Elisabetta Viale, Luca Ronda, Stefano Bettati, Daniela Milani, Norbert Gretz, Rossana Perciaccante

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 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.

No citing paper in PubMed yet.

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

9 authors.

Srishti VajpayeeCyanagen Srl, Via degli Stradelli Guelfi 40/C, 40138 Bologna, Italy.ORCID https://orcid.org/0009-0001-0816-4881
Tiziana PicasciaMedical Research Center, Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Fabio CascianoDepartment of Translational Medicine and LTTA Centre, University of Ferrara, 44121 Ferrara, Italy.ORCID https://orcid.org/0000-0002-6431-3335
Elisabetta VialeDepartment of Medicine and Surgery, University of Parma, Via Volturno 39, 43125 Parma, Italy.
Luca RondaDepartment of Medicine and Surgery, University of Parma, Via Volturno 39, 43125 Parma, Italy.
Stefano BettatiDepartment of Medicine and Surgery, University of Parma, Via Volturno 39, 43125 Parma, Italy.ORCID https://orcid.org/0000-0001-6787-0594
Daniela MilaniDepartment of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy.
Norbert GretzMedical Research Center, Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Rossana PerciaccanteCyanagen Srl, Via degli Stradelli Guelfi 40/C, 40138 Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decades, various tissue-clearing techniques have broken the ground for the optical imaging of whole organs and whole-organisms, providing complete representative data sets of three-dimensional biological structures. Along with advancements in this field, the development of fluorescent markers for staining vessels and capillaries has offered insights into the complexity of vascular networks and their impact on disease progression. Here we describe the use of a modified water-soluble chitosan linked to cyanine dyes in combination with ethyl cinnamate-based optical tissue clearing for the 3D visualization of tissue vasculature in depth. The water-soluble fluorescent Chitosans have proven to be an optimal candidate for labeling both vessels and capillaries

Identifiers

PMID39483637
PMCPMC11522997

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.