Cytometry Part A Special Sections on Imaging Cytometry

by | Oct 4, 2017

Two new, Special Sections dedicated to imaging technologies.

Cytometry Part A, the Official Journal of the International Society for Advancement of Cytometry, has broad Aims and Scope, covering different disciplines in Flow Cytometry, Imaging Cytometry, Mass Cytometry, Cytometry Software Development, and many others.

The latest two Special Sections are dedicated to imaging technologies:

Development and fabrication of nanomaterials for biomedical applications have been booming for the past two decades. In their Guest Editorial, Dror Fixler, James Leary and Xunbin Wei write, “The use of nanostructures and NPs for biological imaging applications is currently undergoing a revolution with the incorporation of new kinds of microscopic techniques that allow the visualization of tissues, cells, proteins, and macromolecular structures at all levels of resolution, functional states, chemical composition and dynamic analysis by using photonic studies of nanoscale interactions in biology and medicine.”

This Special Section includes 3 invited papers describing: (a) labeling nanoparticles and its effect on their cellular uptake; (b) selective laser-induced inactivation of the enzyme-nanoparticle conjugates, and (c) heterogenic response of prokaryotes toward silver nanoparticles.

The following Special Section has a particular importance. The two Guest Editors, ISAC SRL Emerging Leader Andrew Filby from Newcastle University, UK, and ISAC Marylou Ingram Scholar Jessica Houston from the University of New Mexico, USA are, respectively, the present and past participants of the Cytometry Part A – ISAC Mentorship Program aimed to develop the next generation of Cytometry Part A Associate Editors and members of the Editorial Board. Jessica Houston is now an Associate Editor of the Journal, following her successful performance as James Jett’s mentee.

In this Special Section Editorial, Guest Editors Andrew Filby and Jessica Houston highlight 5 original contributions that emphasize the importance of image-based feature extraction and subsequent classification of cells or cell clusters into categories that lead to information important to clinical decision-making.

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