Anti-Cancer Drug Delivery Modeling in Nanomedicine with Combinatorial Image Analysis and Non-Linear Regression

Purpose: The field of cancer nanomedicine has made significant progress, but its clinical translation is impeded by many challenges, such as the difficulty in analysing intracellular anticancer drug release by the nanocarriers due to the lack of suitable tools. Here, we propose the development of a combinatorial imaging and analysis technique to evaluate anticancer drug such as doxorubicin HCl (DOX) released by a nanocarrier inside the HCT116 colon cancer cells and its subsequent intracellular accumulation. Procedure: Fluorescent cell images were captured and subjected to combined image analysis and machine learning based procedures to assess and quantify the delivery and retention rate of DOX inside the cancer cells by multifunctional CNT-DOX-Fe3O4nanocarrier. Results: We show that DOX in HCT116 cells was higher for multifunctional CNT-DOX-Fe3O4nanocarrierthan free DOX, indicating efficient and steady release of DOX as well as superior retentive property of the nanocarrier. Initially (1 h and 4 h) the luminance intensity of DOX in the cell cytoplasm delivered by CNT-DOX-Fe3O4nanocarrier was ~0.34 times and ~0.42 times lesser than that of free DOX delivered normally. However, at 24 h and 48 h post treatment the luminance intensity of DOX for CNT-DOX-Fe3O4nanocarrier was ~1.98 times and 1.92 times higher than that of free DOX. Furthermore, the luminance intensity of DOX for CNT-DOX-Fe3O4in the whole cell was ~1.35 times and ~1.62 times higher than that of free DOX at 24h and 48 h, respectively. Conclusions: The high-throughput nature of our image analysis workflow allowed us to automate the process of DOX retention analysis, and enabled us to devise machine learning-based modeling to predict the percentage of anticancer drug retention in cells. The development of models to automatically quantify and predict intra-cellular drug release in cancer cells could benefit personalized treatments by optimizing the design of nanocarriers.

On the performance of polymer-inorganic perovskite oxide composite light-emitting diodes: The effect of perovskite SrTiO3 additives

This study reports the performances of a single structured light-emitting diode (LED) devices based on polymer material poly(9,9-di- n-hexylfluorenyl-2,7-diyl) (PHF) mixed with various concentrations of perovskite oxide strontium titanate (SrTiO3) particles deposited as a composite PHF: SrTiO3 emitting layer. The performances of the single structured organic LED indium tin oxide (ITO)/PHF/aluminum (Al) device and the composite LED ITO/PHF: SrTiO3/Al devices were compared in terms of turn-on voltage and luminance intensity. By incorporating perovskite SrTiO3 particles into PHF emitting layer, the turn-on voltage of the device is significantly reduced from 11.25 V to 1.80 V and the luminance intensity increased from 57.7 cd/m2 to 609 cd/m2. The improvement of turn-on voltage and the electroluminescence spectrum of the composite devices were found to be dependent on the weight ratios of SrTiO3 content in the PHF emitting layer.

Lux Meter as A Measuring Instrument for Operating Lamp Light Intensity Based on Arduino Uno R3

The light in the operating room has a special luminance intensity standard, so the light intensity needs to be known, because it adapts to lighting needs and functions. The lamps used for operating lighting must meet the requirements stipulated by law, good lighting is lighting that suits your needs, for operating rooms that are 300-500 lux and for operating tables 10,000-20,000 Lux. The problem in the field is that not all hospitals have a lux meter measuring instrument, so when taking measurements if there is an unsuitability of the light it brings a third party, from the problem so that it is not dependent, the research method used is the experimental method, with Arduino uno R3 programming. The Lux meter that has been made has been successful and has been tested with a calibration tool, in this case the calibration test is carried out in the hospital. Based on the calibration test data shows quite good results, the measurement data has been tested 20 times with a distance of 1 meter and 20 times at a distance of 1.5 meters. Based on the measurement and comparison of data, it can be concluded that the error of the tool is relatively low, namely 0.01% at a distance of 1 meter with a difference of 2 lux, and an error value of 0.23% at a distance of 1.5 meters with a difference of 24 lux. For distance measurement and timer, the error is 0% so that it has a difference of 0%.

Surface Topography Measurement of Mirror-Finished Surfaces Using Fringe-Patterned Illumination

Mirror-finished surface products have a wide range of applications in different engineering industries, such as power generation, aerospace, semiconductors and optics. The surface topography of mirror-finished products is typically measured in a metrology laboratory, which is typically time consuming and cannot be integrated into the manufacturing process. To allow for in-situ product quality assurance and automatic tool change for manufacturing processes, a more accurate and responsive surface-measurement method is needed. For highly polished surfaces, a sub-micron surface fluctuation makes it possible to use light-scattering effects and image processing for surface texture analysis. A non-contact surface inspection system using a fringe-patterned illumination method is proposed in this paper. A predesigned pattern was projected onto the target surface, and its reflected image was captured by a camera. It was found that the surface parameters Sa and Sq, which are widely used to evaluate surface quality, are significantly correlated with luminous-intensity distribution. Another parameter, Str, which quantifies the uniformity of surface-texture directions due to polishing or grinding marks, was traditionally quantified after a complete-surface topographic measurement. In this research, a new approach is proposed to determine surface isotropy through a luminance-intensity distribution analysis. By rotating the test coupon, the variation of specular reflection showed correlation with the significance of surface-texture direction. The experimental results demonstrate that mirror-finished surfaces with a large deviation in luminance intensity across the pattern possess low Str values, which indicates low uniformity in surface texture.

Larger Stimuli Require Longer Processing Time for Perception

The time it takes for a stimulus to reach awareness is often assessed by measuring reaction times (RTs) or by a temporal order judgement (TOJ) task in which perceived timing is compared against a reference stimulus. Dissociations of RT and TOJ have been reported earlier in which increases in stimulus intensity such as luminance intensity results in a decrease of RT, whereas perceived perceptual latency in a TOJ task is affected to a lesser degree. Here, we report that a simple manipulation of stimulus size has stronger effects on perceptual latency measured by TOJ than on motor latency measured by RT tasks. When participants were asked to respond to the appearance of a simple stimulus such as a luminance blob, the perceptual latency measured against a standard reference stimulus was up to 40 ms longer for a larger stimulus. In other words, the smaller stimulus was perceived to occur earlier than the larger one. RT on the other hand was hardly affected by size. The TOJ results were further replicated in a simultaneity judgement task, suggesting that the effects of size are not due to TOJ-specific response biases but more likely reflect an effect on perceived timing.