With a typical 100-500 nm diameter, nanobubbles are a promising new-generation ultrasound contrast agent that paves ways for several applications, such as efficient drug delivery, molecular imaging, and assessment of vascular permeability. Due to their unique physical properties, nanobubbles exhibit distinct in vivo pharmacokinetics. We have shown that the first pass of the nanobubble bolus is usually accompanied by the appearance of a second bolus (wave) within a time range of about 15 minutes. Such phenomenon, to the best of our knowledge, has never been observed with conventional microbubbles and smaller molecular contrast agents used in MRI and CT. In a previous study, we showed the potential of this phenomenon in supporting cancer diagnosis. This study focuses on developing a new compartmental pharmacokinetic model that can be used to interpret the second-wave phenomenon. With this model, we can analyze more in-depth the roles of several physiological factors affecting the characteristics of the second-wave phenomenon.

This paper reviews the state-of-the-art methods of dielectrophoresis for micro- and nanomaterial manipulation. Dielectrophoresis is a well-known technique for material manipulation using a nonuniform electric field. This field can apply a force to dielectric materials and move them toward a predefined location. Controlling the pattern of the electric field and its intensity, achieved by a specific arrangement of electrodes or insulators, along with the dielectric properties of the materials allows a variety of manipulation functions including trapping, separation, and transportation. The development of microfabrication techniques has significantly improved the research quality in the field of dielectrophoresis for precisely manipulating micro and nanomaterials. Later, the advent of microfluidic devices provided an excellent platform for reliable and practical devices. Modifying the shape, geometry, and material of the electrodes, isolating the electrodes from the sample, incorporating a particular arrangement of insulators within the electric field, and monitoring the operation in situ are some of the methods utilized for overcoming common problems in dielectrophoretic devices or the problems associated with a specific sample and the manipulation function. The goal of the research in this field is to design practical, high throughput, and inexpensive devices that reliably manipulate micro and nanomaterials. Accordingly, this review aims to represent latest findings and advancements in the field of dielectrophoresis. In particular, the working principles, technical implementation details, current status, and the issues and challenges of dielectrophoretic devices for electrode-based and insulator-based dielectrophoresis in terms of operation and fabrication are discussed.

Fluorescence lifetime imaging is a valuable technique for probing characteristics of wide ranging samples and sensing of the molecular environment. However, the desire to measure faster and reduce effects such as photo bleaching in optical photon-count measurements for lifetime estimation lead to inevitable effects of convolution with the instrument response functions and noise, causing a degradation of the lifetime accuracy and precision. To tackle the problem, this paper presents a robust and computationally efficient framework for recovering fluorophore sample decay from the histogram of photon-count arrivals modelled as a decaying single-exponential function. In the proposed approach, the temporal histogram data is first decomposed into multiple bins via an adaptive multi-bin signal representation. Then, at each level of the multi-resolution temporal space, decay information including both the amplitude and the lifetime of a single-exponential function is rapidly decoded based on a novel statistical estimator. Ultimately, a game-theoretic model consisting of two players in an "amplitude-lifetime" game is constructed to be able to robustly recover optimal fluorescence decay signal from a set of fused multi-bin estimates. In addition to theoretical demonstrations, the efficiency of the proposed framework is experimentally shown on both synthesised and real data in different imaging circumstances. On a challenging low photon-count regime, our approach achieves about 28% improvement in bias than the best competing method. On real images, the proposed method processes data on average around 63 times faster than the gold standard least squares fit. Implementation codes are available to researchers.

T-wave (TW) morphology indices based on time-warping ( dw) have shown significant cardiovascular risk stratification value. However, errors in the location of TW boundaries may impact their prognostic power. Our aim was to test the hypothesis that a weighted time-warping function (WF) would reduce the sensitivity of dw to these errors and improve their clinical significance. The WFs were proportional to (i) the reference TW ( T), and (ii) the absolute value of its derivative ( D). The index dw was recalculated using these WFs, and its performance was compared to the unweighted control case ( C) in four different scenarios: 1) robustness against simulated TW boundaries location errors; 2) ability to retain physiological information in an electrophysiological cardiac model; 3) ability to monitor blood potassium concentration changes ( ∆[K+]) in 29 hemodialysis (HD) patients; 4) and the sudden cardiac death (SCD) risk stratification value of the TW morphology restitution (TMR) index, derived from dw, in 651 chronic heart failure (CHF) patients. The WFs led to a reduced sensitivity ( R) of dw to TW boundary location errors as compared to C (median R=0.19 and 0.22 and 0.35 for T, D and C, respectively). They also preserved the physiological relationship between dw and repolarization dispersion changes at ventricular level. No improvements in ∆[K+] tracking were observed for the HD patients (Pearson's median correlation [ r] between ∆[K+] and dw was 0.86 ≤ r ≤ 0.90 for T, D and C). In CHF patients, the SCD risk stratification value of TMR was improved by applying T (hazard ratio, HAR, of 2.80), followed by D (HAR=2.32) and C (HAR=2.23). The proposed WFs, with T showing the best performance, increased the robustness of time-warping based markers against TW location errors preserving their physiological information content and boosting their SCD risk stratification value. Results from this work support the use of T when deriving dw for future clinical applications.