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Cells
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Super-Resolution Microscopy in Cells
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Super-Resolution Microscopy in Cells

A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cellular Biophysics".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 2565

Special Issue Editors

Dr. Pietro Ferraro

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Guest Editor
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems “E. Caianiello”, Via Campi Flegrei 34, Pozzuoli, I-80078 Naples, Italy
Interests: optics; ferroelectrics; holography; lab_on_chip; nanotechnology
Prof. Dr. Demetri Psaltis

E-Mail Website
Co-Guest Editor
Optics Laboratory (LO), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
Interests: imaging optics
Prof. Dr. Zeev Zalevsky

E-Mail Website
Co-Guest Editor
Faculty of Engineering, Bar-Ilan University, 52900 Ramat-Gan, Israel
Interests: super resolution; bio-photonics; electro-optical nano devices; silicon photonics
Special Issues, Collections and Topics in MDPI journals
Dr. Pasquale Memmolo

E-Mail Website
Co-Guest Editor
CNR Institute of Applied Sciences and Intelligent Systems (ISASI), Pozzuoli, Italy
Interests: computational optical imaging; digital holography; optical engineering; flow cytometry; 3D tracking and pattern recognition; micro- and opto-fluidics; digital image processing; computer vision; convex optimization; 3D display technologies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Special Issue "Super-Resolution Microscopy in Cells" of the Journal “Cells” (Impact Factor 6.600). The Special Issue will focus on novel development and application of microscopy methods (both optical and computational) that enable super-resolution imaging at single-cell level. Novel unconventional microscopies or artificial intelligence based approaches to outperform existing super-resolution methods are also within the scope of the Special Issue. Papers may also focus on addressing step forward biological questions by advanced single-cell imaging and analysis. Moreover, review articles can cover recent advances in the fields of super-resolution microscopy, computational microscopy, or novel and emerging techniques for sub-diffraction imaging.

Dr. Pietro Ferraro
Prof. Dr. Demetri Psaltis
Prof. Dr. Zeev Zalevsky
Dr. Pasquale Memmolo
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. Cells 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 2700 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

  • advanced microscopies (phase-contrast, fluorescent, QPI, Light Sheet, X-ray, SEM, TEM, NMR, STED)
  • computational microscopy
  • super-resolution techniques and sub-diffraction imaging
  • synthetic aperture imaging
  • digital holography in microscopy
  • 3D microscopy and tomography
  • fourier ptychography
  • interferometric scattering microscopy
  • bio-medical optics and bio-imaging
  • deep learning and machine learning in microscopy
  • single-cell imaging
  • microfluidic imaging
  • cells elastography
  • speckle imaging

Published Papers (1 paper)

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Research

17 pages, 9835 KiB  
Article
Developing a Reliable Holographic Flow Cyto-Tomography Apparatus by Optimizing the Experimental Layout and Computational Processing
by Jaromír Běhal, Francesca Borrelli, Martina Mugnano, Vittorio Bianco, Amedeo Capozzoli, Claudio Curcio, Angelo Liseno, Lisa Miccio, Pasquale Memmolo and Pietro Ferraro
Cells 2022, 11(16), 2591; https://doi.org/10.3390/cells11162591 - 19 Aug 2022
Cited by 4 | Viewed by 1814
Abstract
Digital Holographic Tomography (DHT) has recently been established as a means of retrieving the 3D refractive index mapping of single cells. To make DHT a viable system, it is necessary to develop a reliable and robust holographic apparatus in order that such technology [...] Read more.
Digital Holographic Tomography (DHT) has recently been established as a means of retrieving the 3D refractive index mapping of single cells. To make DHT a viable system, it is necessary to develop a reliable and robust holographic apparatus in order that such technology can be utilized outside of specialized optics laboratories and operated in the in-flow modality. In this paper, we propose a quasi-common-path lateral-shearing holographic optical set-up to be used, for the first time, for DHT in a flow-cytometer modality. The proposed solution is able to withstand environmental vibrations that can severely affect the interference process. Furthermore, we have scaled down the system while ensuring that a full 360° rotation of the cells occurs in the field-of-view, in order to retrieve 3D phase-contrast tomograms of single cells flowing along a microfluidic channel. This was achieved by setting the camera sensor at 45° with respect to the microfluidic direction. Additional optimizations were made to the computational elements to ensure the reliable retrieval of 3D refractive index distributions by demonstrating an effective method of tomographic reconstruction, based on high-order total variation. The results were first demonstrated using realistic 3D numerical phantom cells to assess the performance of the proposed high-order total variation method in comparison with the gold-standard algorithm for tomographic reconstructions: namely, filtered back projection. Then, the proposed DHT system and the processing pipeline were experimentally validated for monocytes and mouse embryonic fibroblast NIH-3T3 cells lines. Moreover, the repeatability of these tomographic measurements was also investigated by recording the same cell multiple times and quantifying the ability to provide reliable and comparable tomographic reconstructions, as confirmed by a correlation coefficient greater than 95%. The reported results represent various steps forward in several key aspects of in-flow DHT, thus paving the way for its use in real-world applications. Full article
(This article belongs to the Special Issue Super-Resolution Microscopy in Cells)
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