Expanding the Range of Bioorthogonal Tags for Multiplex Stimulated Raman Scattering Microscopy

Multiplex optical detection in live cells is challenging due to overlapping signals and poor signal-to-noise associated with some chemical reporters. To address this, the application of spectral phasor analysis to stimulated Raman scattering (SRS) microscopy for unmixing three bioorthogonal Raman probes within cells is reported. Triplex detection of a metallacarborane using the B-H stretch at 2480-2650 cm-1 , together with a bis-alkyne and deuterated fatty acid can be achieved within the cell-silent region of the Raman spectrum. When coupled to imaging in the high-wavenumber region of the cellular Raman spectrum, nine discrete regions of interest can be spectrally unmixed from the hyperspectral SRS dataset, demonstrating a new capability in the toolkit of multiplexed Raman imaging of live cells.

Shedding light on reovirus assembly-Multimodal imaging of viral factories

Avian (ortho)reovirus (ARV), which belongs to Reoviridae family, is a major domestic fowl pathogen and is the causative agent of viral tenosynovitis and chronic respiratory disease in chicken. ARV replicates within cytoplasmic inclusions, so-called viral factories, that form by phase separation and thus belong to a wider class of biological condensates. Here, we evaluate different optical imaging methods that have been developed or adapted to follow formation, fluidity and composition of viral factories and compare them with the complementary structural information obtained by well-established transmission electron microscopy and electron tomography. The molecular and cellular biology aspects for setting up and following virus infection in cells by imaging are described first. We then demonstrate that a wide-field version of fluorescence recovery after photobleaching is an effective tool to measure fluidity of mobile viral factories. A new technique, holotomographic phase microscopy, is then used for imaging of viral factory formation in live cells in three dimensions. Confocal Raman microscopy of infected cells provides "chemical" contrast for label-free segmentation of images and addresses important questions about biomolecular concentrations within viral factories and other biological condensates. Optical imaging is complemented by electron microscopy and tomography which supply higher resolution structural detail, including visualization of individual virions within the three-dimensional cellular context.

Physico-chemical analysis of electrospun fibers - A systematic approach

Electrospun fibers emerged as promising drug delivery systems for various pharmaceutical applications due to their favorable properties. However, while for established drug delivery systems (e.g. tablets or capsules) standardized analytical procedures exist, the methodologies for characterization of electrospun fibers differ widely in the literature. Unfortunately, this situation impedes comparison of different studies and consequently hampers translation of the results into clinics. Thus, there is an urgent need for systematic studies evaluating different analytical techniques for their validity to characterize and differentiate different electrospun fibers. In this study, we aimed to identify a predictive and robust toolset of complementary analytical techniques allowing for comprehensive and discriminative evaluation of electrospun fibers. For this purpose, we fabricated two drug-loaded model formulations with contrastive physico-chemical properties and drug release kinetics. Different analytical techniques were applied for physico-chemical characterization of the spinning solutions as well as of the fibers. Each analytical method was evaluated with regard to discriminative power and individual limitations. The introduction of novel analytical approaches such as automated low-volume release testing may further advance the field of electrospinning. By combining complementary analytical methods, including spectral composition analysis, morphology visualization, characterization of physico-chemical properties and drug release kinetics, as well as the application of multivariate data analysis, we were able to establish a robust and predictive toolset, which can support comparability of future electrospinning studies and the translation from the lab bench into clinics.