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Recent Advances in Molecular Imaging Technologies

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Biophysics".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 2609

Special Issue Editor


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Guest Editor
Department of Chemistry, Columbia University in the City of New York, 525 W 120th St #91, New York, NY 10027, USA
Interests: animals; plants; insects; microscopy; biology; insect vectors; plant diseases; molecular mechanism; bacterial diversity; molecular imaging; cell trafficking

Special Issue Information

Dear Colleagues, 

Molecular imaging is a novel, rapidly developing biomedical imaging field, which makes use of modern tools to depict noninvasive in vivo cellular and molecular processes in a sensitive and specific way, such as monitoring multiple molecular events, cell trafficking, and targeting in biomolecular studies. This field’s goals are to develop technologies and instruments for studying biomolecular and medical processes, as well as to improve disease diagnosis and management. In recent years, despite the fact that rapid advances in fundamentals and applications have allowed for molecular imaging to become an important tool for biomedical research, many difficult problems and challenges remain. This Special Issue aims to collect high-quality, peer-reviewed, original research papers in the field of molecular imaging (clinical or pure model submissions with biomolecular experiments are welcomed) discussing in detail present problems and challenges and illustrating recent progress and future directions.

Prof. Dr. Wei Min
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • animals
  • plants
  • insects
  • drug discovery
  • bioactive agents
  • molecular mode of actions
  • microscopy
  • biology
  • insect vectors
  • plant diseases
  • molecular mechanism
  • bacterial diversity
  • molecular imaging
  • cell trafficking

Published Papers (2 papers)

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12 pages, 1612 KiB  
Article
Quantitative Susceptibility Mapping and Amide Proton Transfer-Chemical Exchange Saturation Transfer for the Evaluation of Intracerebral Hemorrhage Model
by Reika Sawaya, Junpei Ueda and Shigeyoshi Saito
Int. J. Mol. Sci. 2023, 24(7), 6627; https://doi.org/10.3390/ijms24076627 - 1 Apr 2023
Cited by 2 | Viewed by 1360
Abstract
This study aimed to evaluate an intracerebral hemorrhage (ICH) model using quantitative susceptibility mapping (QSM) and chemical exchange saturation transfer (CEST) with preclinical 7T-magnetic resonance imaging (MRI) and determine the potential of amide proton transfer-CEST (APT-CEST) for use as a biomarker for the [...] Read more.
This study aimed to evaluate an intracerebral hemorrhage (ICH) model using quantitative susceptibility mapping (QSM) and chemical exchange saturation transfer (CEST) with preclinical 7T-magnetic resonance imaging (MRI) and determine the potential of amide proton transfer-CEST (APT-CEST) for use as a biomarker for the early detection of ICH. Six Wistar male rats underwent MRI, and another six underwent histopathological examinations on postoperative days 0, 3, and 7. The ICH model was created by injecting bacterial collagenase into the right hemisphere of the brain. QSM and APT-CEST MRI were performed using horizontal 7T-MRI. Histological studies were performed to observe ICH and detect iron deposition at the ICH site. T2-weighted images (T2WI) revealed signal changes associated with hemoglobin degeneration in red blood cells, indicating acute-phase hemorrhage on day 0, late-subacute-phase hemorrhage on day 3, and chronic-phase hemorrhage on day 7. The susceptibility alterations in each phase were detected using QSM. QSM and Berlin blue staining revealed hemosiderin deposition in the chronic phase. APT-CEST revealed high magnetization transfer ratios in the acute phase. Abundant mobile proteins and peptides were observed in early ICH, which were subsequently diluted. APT-CEST imaging may be a reliable noninvasive biomarker for the early diagnosis of ICH. Full article
(This article belongs to the Special Issue Recent Advances in Molecular Imaging Technologies)
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24 pages, 8214 KiB  
Article
Utility of 1.5 Tesla MRI Scanner in the Management of Small Sample Sizes Driven from 3D Breast Cell Culture
by Wiesław Guz, Rafał Podgórski, David Aebisher, Adrian Truszkiewicz, Agnieszka Machorowska-Pieniążek, Grzegorz Cieślar, Aleksandra Kawczyk-Krupka and Dorota Bartusik-Aebisher
Int. J. Mol. Sci. 2024, 25(5), 3009; https://doi.org/10.3390/ijms25053009 - 5 Mar 2024
Viewed by 825
Abstract
The aim of this work was to use and optimize a 1.5 Tesla magnetic resonance imaging (MRI) system for three-dimensional (3D) images of small samples obtained from breast cell cultures in vitro. The basis of this study was to design MRI equipment to [...] Read more.
The aim of this work was to use and optimize a 1.5 Tesla magnetic resonance imaging (MRI) system for three-dimensional (3D) images of small samples obtained from breast cell cultures in vitro. The basis of this study was to design MRI equipment to enable imaging of MCF-7 breast cancer cell cultures (about 1 million cells) in 1.5 and 2 mL glass tubes and/or bioreactors with an external diameter of less than 20 mm. Additionally, the development of software to calculate longitudinal and transverse relaxation times is described. Imaging tests were performed using a clinical MRI scanner OPTIMA 360 manufactured by GEMS. Due to the size of the tested objects, it was necessary to design additional receiving circuits allowing for the study of MCF-7 cell cultures placed in glass bioreactors. The examined sample’s volume did not exceed 2.0 mL nor did the number of cells exceed 1 million. This work also included a modification of the sequence to allow for the analysis of T1 and T2 relaxation times. The analysis was performed using the MATLAB package (produced by MathWorks). The created application is based on medical MR images saved in the DICOM3.0 standard which ensures that the data analyzed are reliable and unchangeable in an unintentional manner that could affect the measurement results. The possibility of using 1.5 T MRI systems for cell culture research providing quantitative information from in vitro studies was realized. The scanning resolution for FOV = 5 cm and the matrix was achieved at a level of resolution of less than 0.1 mm/pixel. Receiving elements were built allowing for the acquisition of data for MRI image reconstruction confirmed by images of a phantom with a known structure and geometry. Magnetic resonance sequences were modified for the saturation recovery (SR) method, the purpose of which was to determine relaxation times. An application in MATLAB was developed that allows for the analysis of T1 and T2 relaxation times. The relaxation times of cell cultures were determined over a 6-week period. In the first week, the T1 time value was 1100 ± 40 ms, which decreased to 673 ± 59 ms by the sixth week. For T2, the results were 171 ± 10 ms and 128 ± 12 ms, respectively. Full article
(This article belongs to the Special Issue Recent Advances in Molecular Imaging Technologies)
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