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The separation of specific cell populations is instrumental in gaining insights into cellular processes, elucidating disease mechanisms, and advancing applications in tissue engineering, regenerative medicine, diagnostics, and cell therapies. Microfluidic methods for cell separation have propelled the field forward, benefitting from miniaturization, advanced fabrication technologies, a profound understanding of fluid dynamics governing particle separation mechanisms, and a surge in interdisciplinary investigations focused on diverse applications. Cell separation methodologies can be categorized according to their underlying separation mechanisms. Passive microfluidic separation systems rely on channel structures and fluidic rheology, obviating the necessity for external force fields to facilitate label-free cell separation. These passive approaches offer a compelling combination of cost-effectiveness and scalability when compared to active methods that depend on external fields to mani ....
Polarized and wide-field light microscopy has been studied for many years to develop accurate and information-rich images within a focused framework on biophysics and biomedicine. Technological advances and conceptual understanding have recently led to significant results in terms of applications. Simultaneously, developments in label-free methods are opening a new window on molecular imaging at a low dose of illumination. The ability to encode and decode polarized light pixel by pixel, coupled with the computational strength provided by artificial intelligence, is the running perspective of label-free optical microscopy. More specifically, the information-rich content Mueller matrix microscopy through its 16 elements offers multimodal imaging, an original data set to be integrated with other advanced optical methods. This dilates the spectrum of possible and potential applications. Here, we explore the recent advances in basic and applied research towards technological applications ta ....
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MyJournals.org - Science - [ASAP] Meta4P: A User-Friendly Tool to Parse Label-Free Quantitative Metaproteomic Data and Taxonomic/Functional Annotations (Journal of Proteome Research) ....