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This chapter introduces novel and efficient methods for the biological applications of quantum dot glycoconjugates in two sections. In the first section, a brief introduction of quantum dots is presented with interfacial chemistry and various synthesis techniques. The second section focuses on the current detection methods highlighting the quantum dots.
This paper presents the development and evaluation of an algorithm for the prediction of NOx emissions from a biomass fired combustion process based on flame radical imaging, image processing and soft computing techniques. The investigation was performed on a biomass-gas fired test rig. An algorithm which combines texture analysis and non-negative matrix factorization (NMF) is studied for the image...
Owing to the advancing development of electrical technique in analytical laboratory, we already have capability to measure tiny capacitance, down to 100aF, in Nano-dimension, down to 20nm, of the real-world Nano-device using Nanoprobing in SEM or AFM instead of traditional Micro-probing in OM instrument become real of the claim. The mechanism, operation and application are described and discussed...
In this paper, we present a novel method to study the effect of induced mild hypothermia on cerebral vascular responses. To measure cerebral vascular responses, a minimally invasive imaging method, temporal laser speckle imaging, was developed and adapted for induced-hypothermia rat model. Experiments were carried out in rats under anesthesia. Laser speckle images were acquired at different temperature...
This paper presents an adaptive angular sampling approach developed for SPECT systems that require the rotation of the detection system to obtain an adequate angular sampling. The basic idea of the approach is to assign different imaging times across possible sampling angles, based on the efficiency of the camera(s) at each possible angle for collecting imaging information. In this study, we used...
We present a new image compression scheme for hyperspectral images based on the newly-emerged matrix/tensor completion theory. Unlike typical transform-coding based methods, the proposed approach does not require any transform to be performed by the imaging sensor when doing on-board compression. Only a small set of pixels on a sparse set of locations on the imaging sensor needs to be captured and...
Laser speckle contrast imaging (LSCI) has classically been used to image regional blood flow changes in animal models. In this paper, we demonstrate the use of LSCI for elucidating blood flow characteristics in individual microvessels with diameters as small as 24μm. We extracted profiles of speckle contrast values within individual vessels, both along their diameters and along their lengths and inferred...
Brain's functional response can be studied by observing the spatiotemporal dynamics of functional and structural changes in cerebral vasculature. However, very few studies explore detailed changes at the level of individual microvessels while revealing the simultaneous wide field view of microcirculation responses to functional stimulation. Here we use a high spatiotemporal resolution laser speckle...
A laser speckle imaging (LSI) technique, with high spatio-temporal resolution, is presented for studying cerebrovascular response to stimulation. LSI is evaluated in a rodent model of cerebrovascular activity, in a model of migraine, by eliciting functional response to brain trigeminal nerve stimulation. The specific haemodynamic response, including deoxy-hemoglobin saturation and blood flow responses...
In this paper, we present the use of modified uniform Cramer-Rao type bounds (MUCRB) for the design of single photon emission tomography (SPECT) systems. The MUCRB is the lowest attainable total variance using any estimator of an unknown vector parameter, whose mean gradient matrix satisfies a given constraint. Since the mean gradient is closely related to local impulse function, the MUCRB approach...
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