Multi-functional, self-sensing and automated real-time non-contact liquid dispensing system

Liquid dispensing in the order of pico-liter has become more and more important in biology, electronics and micro-electronic-mechanical-system (MEMS) during the past two decades due to the rapid progress of researches on the deoxyribonucleic acid (DNA) microarray, compact and low-cost direct write technology (DWT), organic semiconductors and nano-particles. The existing approaches, commercialized or experimental, to liquid dispensing in minute amounts have one common shortcoming: open loop control, i.e., they have no direct control on the quality of dispensed liquid. In contrast, the SmartPin has intrinsic self-sensing capability to not only control the process of liquid dispensing, but also the results of the dispensed liquid in real time. The dual purpose fiber optics sensor/plunger is able to detect the status of liquid morphology under dispensing, in real time, by the internal light sensor and control both the amount and the manner of liquid dispensing by its plunger-like movements. This dissertation work has implemented, with the SmartPin technology, a frilly automated DNA microarrayer based on the first generation prototype developed at NJIT\u27s Real Time Control Laboratory. This new DNA microarrayer fulfills all requirements in each step of DNA microarray fabrication, such as thorough cleaning to avoid cross contamination and clogging, aspiration of tiny amount of DNA samples, spotting on multiple slides, and flexible in stream change of DNA samples. Experiment results shows that this DNA microarrayer compares favorably with its commercialized counterpart OmniGrid 100 with SMP3 pins. As a verification of robust implementation and on-the-fly control of spot morphology, high volume of spots (120 K) have been made, from which the corresponding experiment data has been obtained, categorized and normalized as template database. In addition, this dissertation research explores the patterned microline-drawing capability of the SmartPin. Two approaches, spot sequence and liquid-column sweeping, are proposed and implemented. Experiment results show that the SmartPin is promising in the area of patterning of large area organic electronics. Besides the experimental research, computational fluid dynamics (CFD) simulation of the liquid dispensing process has been done by utilizing GAMBIT and FLUENT, which are state-of-the-art computer programs for modeling fluid flow and heat transfer in complex geometries. The CFD simulation results, validated by experimental results, offer a guide to the design of control system for different tasks of liquid dispensation, such as fabrication of protein microarray

VGGFace2: A dataset for recognising faces across pose and age

In this paper, we introduce a new large-scale face dataset named VGGFace2. The dataset contains 3.31 million images of 9131 subjects, with an average of 362.6 images for each subject. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession (e.g. actors, athletes, politicians). The dataset was collected with three goals in mind: (i) to have both a large number of identities and also a large number of images for each identity; (ii) to cover a large range of pose, age and ethnicity; and (iii) to minimize the label noise. We describe how the dataset was collected, in particular the automated and manual filtering stages to ensure a high accuracy for the images of each identity. To assess face recognition performance using the new dataset, we train ResNet-50 (with and without Squeeze-and-Excitation blocks) Convolutional Neural Networks on VGGFace2, on MS- Celeb-1M, and on their union, and show that training on VGGFace2 leads to improved recognition performance over pose and age. Finally, using the models trained on these datasets, we demonstrate state-of-the-art performance on all the IARPA Janus face recognition benchmarks, e.g. IJB-A, IJB-B and IJB-C, exceeding the previous state-of-the-art by a large margin. Datasets and models are publicly available.Comment: This paper has been accepted by IEEE Conference on Automatic Face and Gesture Recognition (F&G), 2018. (Oral

Hydrochemical variations of the springs on Jinfo Mountain, Chongqing, China

There are 18 springs within the Jinfo Mountain area of Chongqing, SW China (of which 10 epikarst springs are within the National Nature Reserve, and 4 epikarst springs and 4 non-epikarst springs are outside the National Nature Reserve). The hydrochemical characteristics of these springs were measured in 1977, 2004-2009, and 2011. The data show that the hydrochemistry type of springs in different areas, and for different years, is Ca-HCO3 and Ca-HCO3-SO4, whereas the concentrations of SO4 and NO3 are very sensitive to changes in human activities. All the springs with the highest SO4 and NO3 concentrations in the study area showed minimum concentrations in 1977 and an upward trend in concentrations from 2004 to 2008, followed by a period of lower concentrations. Springs with low SO4 and NO3 concentrations were distributed solely at the top of Jinfo Mountain in the National Nature Reserve. The hydrochemical variations observed in springs on Jinfo Mountain demonstrate that the implementation of environmental policy measures and industrial restructuring have successfully contributed to environmental protection of the springs

Genetically Modified Dermal Keratinocytes Express High Levels of Transforming Growth Factor-β1

In an attempt to genetically modify cultured keratinocytes with transforming growth factor-β1 (TGF-β1), which has been proven to be one of the most important cytokines involved in wound healing, two constructs were made. One, designated pG3Z:K14-TGF-β1, is a plasmid in which the expression of TGF-β1 is driven by the keratin 14 promoter. The other, designated pLin-TGF-β1, is a retroviral vector in which the retroviral 5' long-terminal repeat promoter drives expression. In both constructs, the deletion of a small fragment of the noncoding region of the TGF-β1 gene was made to differentiate the transcript from that for endogenously expressed TGF-β1. Different types of cells were transfected with the pG3Z:K14-TGF-β1 construct using the calcium phosphate method. The pLin-TGF-β1 construct was propagated in a retroviral packaging cell line and conditioned medium that contained high titers of the virus was used to transduce keratinocytes or other types of cells grown in standard culture. Northern analysis, used to evaluate the expression of TGF-β1 mRNA in the pG3Z:K14-TGF-β1 transfected keratinocyte Cl-177 cell line, showed a smaller TGF-β1 transcript compared with that endogenously expressed by dermal fibroblasts. The level of TGF-β1 protein evaluated by enzyme-linked immunosorbent assay was significantly higher in medium conditioned by either the K14-TGF-β1 transfected or the pLin-TGF-β1 transduced keratinocytes, compared with that obtained from control cells; however, the level of TGF-β1 protein was unchanged in cultures of pG3Z:K14-TGF-β1 transfected nonkeratinocyte cells such as fetal and adult fibroblasts. Using the mink lung epithelial cell growth inhibition assay, we found an increase in TGF-β1 activity in conditioned medium from the pG3Z:K14-TGF-β1 transfected cells. To evaluate possible paracrine effects of the keratinocyte derived TGF-β1, a coculture system was established with pLin-TGF-β1 transduced keratinocytes grown in the upper chamber and dermal fibroblasts in the lower chamber. The results showed that TGF-β1 released from keratinocytes diffused to the lower chamber where it stimulated collagen production by dermal fibroblasts. In summary, we demonstrate here that primary cultured keratinocytes can be genetically modified to express high levels of TGF-β1 and suggest that this offers a potential approach for the therapy of dermal lesions such as nonhealing wounds