Computational and Unconventional Microscopy for Cellular Imaging
A special issue of Cells (ISSN 2073-4409).
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 191
Special Issue Editors
2. Quantitative Light Imaging Laboratory, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Interests: optical microscopy; quantitative phase imaging; multiphoton microscopy; light scattering; statistical optics; coherence theory
Special Issues, Collections and Topics in MDPI journals
2. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
Interests: quantitative phase imaging; biomedical optical imaging; holography; microscopy
Special Issue Information
Dear Colleagues,
We are organizing an issue to capture the excitement surrounding the relative Cambrian explosion of methods and instruments that is enabling researchers to reconstruct or improve cellular images using computers. Thus far, the use of such techniques has had a broad impact, enabling researchers to see deeper into turbid samples, visualize cellular detail beyond the diffraction limit, infer fluorescent stains, or simply denoise their confocal images.
This Issue of Cells, entitled "Computational and unconventional microscopy for cellular imaging", will cover a broad array of imaging techniques, including developments and applications in fluorescence microscopy, label-free imaging, adaptive optics, and applied artificial intelligence. We encourage scholars to submit original research with a theoretical, experimental, or application focus, and produce review articles and tutorials.
The topics of this Special Issue include, but are not limited to:
- Unconventional imaging techniques for cellular imaging
- Advancements in live cell microscopy
- Cellular imaging techniques enabled by artificial intelligence and machine learning
- Imaging through turbid tissues and adaptive optics for cellular level studies
- High-throughput and automated image acquisition and cytology
Articles will be peer-reviewed and published in the open-access journal Cells. We hope that you will consider our invitation and contribute your valuable research to this special issue. We look forward to your submissions.
Best regards,
Dr. Xi Chen
Dr. Mikhail Kandel
Guest Editors
Manuscript Submission Information
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Keywords
- microscopy of cellular imaging
- computational cellular imaging
- biomedical image reconstruction
- fluorescence microscopy of cellular imaging
- label-free cellular imaging
- spectroscopic and Raman imaging for cells
- deconvolution microscopy for cellular imaging
- instrumentation for cellular imaging
- artificial intelligence and machine learning for cellular imaging
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