Applications of Ex Vivo Microscopy in Cancer Detection and Diagnosis

Dear Colleagues,

Ex vivo microscopy is a set of emerging microscopy methods intended for rapid, high-resolution imaging of excised tissue samples. These modalities have the ability to achieve depth-resolved images of fresh, fixed, and/or optically cleared tissues at microscopic resolution in clinically relevant timeframes. However, the choice of an optimal imaging modality and contrast mechanism is heavily influenced by the particular application to be addressed. This Special Issue aims to highlight the wide diversity in modalities and approaches in the field through their applications in cancer detection and diagnosis. Modalities may include, but are not limited to, optical sectioning microscopies (confocal, multiphoton, structured illumination, and light sheet), optical coherence tomography, photoacoustic microscopy, microscopy with UV excitation, vibrational microscopy., etc. Applications may include, but are not limited to, rapid on-site evaluation of cancer biopsy, surgical tumor margin assessment, primary cancer diagnosis, and rapid 2D or 3D imaging of intact samples.

Dr. J. Quincy Brown
Guest Editor

Manuscript Submission Information

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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. Cancers 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 2900 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.

• microscopy
• cancer
• optical sectioning
• diagnosis
• detection