Towards Imaging the Dynamics of Protein Signalling

Dielectrophoretic profiling of erythrocytes to study the impacts of metabolic stress, temperature, and storage duration utilizing a point-and-planar microdevice

Dielectrophoresis (DEP) is widely utilized for trapping and sorting various types of cells, including live and dead cells and healthy and infected cells. This article focuses on the dielectric characterization of erythrocytes (red blood cells or RBCs) by quantifying DEP crossover frequency using a novel point-and-planar microwell device platform. Numerical simulations using COMSOL Multiphysics software demonstrate that the distribution of the DEP force is influenced by factors such as the shape of the point electrode, spacing between the point and planar electrodes, and the type of bioparticle being investigated. The dependency on electrode spacing is experimentally evaluated by analyzing the DEP crossover response of erythrocytes. Furthermore, the results are validated against the traditional electrical characterization technique called electrorotation, which typically requires laborious fabrication and operation using quadrupole electrodes. Other significant factors, including erythrocyte storage age and the changes in cell properties over time since collection, osmolarity, and temperature, are also assessed to determine the optimal conditions for erythrocyte characterization. The findings indicate a significant difference between fresh and stored erythrocyte samples (up to 4 days), highlighting the importance of maintaining an isotonic medium for cell storage.

Noise-Free Visualization of Microscopic Calcium Signaling by Pixel-Wise Fitting

Rationale:

Our insights into physiological and pathophysiological cardiac excitation-contraction coupling has greatly benefited from significant advancement in optical technologies such as high-speed confocal microscopy. This has pushed pixel dwell times into the time domain of nanoseconds, resulting in low signal-to-noise ratios, which have limited data analysis and interpretation.

Objective:

Line scan imaging has been and still is dominant in high speed confocal recording. It allows analysis only of a small fraction of a cell's cross section (1.5%), but the appreciation of spatiotemporal fine details of excitation-contraction coupling is instrumental for the further understanding of pathological mechanisms. We aim to provide a novel analysis tool to extract otherwise hidden fine details in cardiac excitation-contraction coupling from high-speed 2-dimensional confocal image series.

Methods and Results:

We demonstrate that high-speed 2-dimensional confocal data (150 frames/s) can be analyzed quantitatively by a pixel-wise fitting approach, using a mathematical formalism to phenomenologically describe local calcium transients. Such an approach produces virtually noise-free fluorescence data originating from minute volumes (0.025 femtoliter) and allows extraction of detailed and most importantly quantitative and mechanistically novel information on microscopic calcium signaling and excitation-contraction coupling in a robust manner.

Conclusions:

Pixel-wise fitting provides novel insights into cardiac excitation-contraction coupling. Specifically, it revealed microscopic calcium alternans on the level of individual coupling sites. Microscopic calcium alternans is an early precursor of cellular alternans and as such will shed more light onto this mechanism leading to cardiac arrhythmia.

Multiphoton imaging of host-pathogen interactions

Studying the events that occur when a pathogen comes into contact with its host is the basis of the field of infection biology. Over the years, work in this area has revealed many facets of the infection process, including attachment, invasion and colonization by the pathogen, and of the host responses, such as the triggering of the immune system. Recent advancements in imaging technologies, such as multiphoton microscopy (MPM), mean that the field is in the process of taking another big leap forward. MPM allows for cellular-level visualization of the real-time dynamics of infection within the living host. The use of live animal models means that all the interplaying factors of an infection, such as the influences of the immune, lymphatic and vascular systems, can be accounted for. This review outlines the developing field of MPM in pathogen-host interactions, highlighting a number of new insights that have been 'brought to light' using this technique.