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Modern Trends and Applications in Cell Imaging

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: 25 October 2025 | Viewed by 34

Special Issue Editors


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Guest Editor
BIONEM Lab., Department of experimental and clinical medicine, “Magna Graecia” University of Catanzaro, 88100 Catanzaro, Italy
Interests: plasmonics; optical nanodevices; micro- and nanofabrication; spectroscopy and their applications on biological and medical fields
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Medical and Surgical Sciences, University “Magna Græcia” of Catanzaro, 88100 Catanzaro, Italy
Interests: biophotonics; lipids

Special Issue Information

Dear Colleagues,

Cell imaging has revolutionized the field of biomedical research, enabling scientists to visualize cellular structures, track dynamic processes, and gain deeper insights into disease mechanisms. Modern trends in cell imaging are focusing on enhancing resolution, speed, and specificity while minimizing phototoxicity. Advancements in fluorescence, hyperspectral imaging, and label-free imaging are improving the real-time observation of living cells, enabling the more precise spectral analysis of cellular components. Meanwhile, super-resolution microscopy techniques, such as STED, allow imaging beyond the diffraction limit, revealing nanoscale cellular details.

Artificial intelligence (AI) and machine learning are transforming image analysis, automating feature recognition and quantification. Multiplex imaging techniques, including spatial transcriptomics, enable the high-dimensional analysis of cellular interactions within tissues. Additionally, innovations in miniaturized and portable imaging devices are expanding diagnostic applications in clinical and point-of-care settings.

Applications of modern cell imaging span various domains, from cancer research and drug discovery to neuroscience and regenerative medicine. Live-cell imaging aids in understanding cellular dynamics, while high-throughput imaging accelerates screening for potential therapeutics. With continuous technological advancements, cell imaging is set to further enhance precision medicine and personalized treatment strategies, making it an indispensable tool in modern life sciences and healthcare.

Dr. Patrizio Candeloro
Dr. Luca Tirinato
Guest Editors

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. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). 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

  • high-resolution imaging of cells
  • advancements in fluorescence imaging of cells
  • stimulated emission depletion (STED) microscopy in cells
  • hyperspectral imaging of cells
  • Raman micro-imaging for cells
  • artificial intelligence (AI) applications in cell imaging
  • machine learning applications in cell imaging

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This special issue is now open for submission.
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