Size-selective DNA Nanocage-based Activatable CRISPR-Cas12a for Sensitive and Accurate Detection of Mature MicroRNA

2021 ◽  
Author(s):  
Xiaoyi Fu ◽  
Yao Yin ◽  
Meng Zhang ◽  
Fangqi Peng ◽  
Yuyan Shi ◽  
...  
Keyword(s):  
Signal Interference ◽  
Accurate Detection ◽  
Mature Microrna

The sensitive and accurate detection of mature miRNA without the signal interference by pre-miRNAs is highly important. Herein, a size-selective DNA nanocage-based activatable CRISPR/Cas12a system was developed to achieve this...

Accurate Detection and Quantization of Leaf- Diseases through Soft Computing

2018 ◽  
Vol 1 (1) ◽  
pp. 236-247
Author(s):  
Divya Srivastava ◽  
Rajitha B. ◽  
Suneeta Agarwal
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Agricultural Production ◽  
Bacterial Blight ◽  
Early Stage ◽  
Second Phase ◽  
Computationally Efficient ◽  
Stage Of Disease ◽  
Accurate Detection ◽  
Two Phases

Diseases in leaves can cause the significant reduction in both quality and quantity of agricultural production. If early and accurate detection of disease/diseases in leaves can be automated, then the proper remedy can be taken timely. A simple and computationally efficient approach is presented in this paper for disease/diseases detection on leaves. Only detecting the disease is not beneficial without knowing the stage of disease thus the paper also determine the stage of disease/diseases by quantizing the affected of the leaves by using digital image processing and machine learning. Though there exists a variety of diseases on leaves, but the bacterial and fungal spots (Early Scorch, Late Scorch, and Leaf Spot) are the most prominent diseases found on leaves. Keeping this in mind the paper deals with the detection of Bacterial Blight and Fungal Spot both at an early stage (Early Scorch) and late stage (Late Scorch) on the variety of leaves. The proposed approach is divided into two phases, in the first phase, it identifies one or more disease/diseases existing on leaves. In the second phase, amount of area affected by the disease/diseases is calculated. The experimental results obtained showed 97% accuracy using the proposed approach.

PLATELETS RELEASE MEMBRANE VESICLES CARRYING THE MATURE microRNA-221 AND ACTIVATED CASPASE-3 DURING THE PLATELET CONCENTRATE STORAGE

Tsitologiya ◽  
2018 ◽  
Vol 60 (7) ◽  
pp. 563-566
Author(s):  
V. V. Kishenko ◽  
◽  
K. A. Kondratov ◽  
V. Yu. Mikhailovskii ◽  
S. V. Sidorkevich ◽  
...  
Keyword(s):  
Caspase 3 ◽  
Membrane Vesicles ◽  
Platelet Concentrate ◽  
Mature Microrna

Precise Localization of 28 nm via Chain Resistive Defect Using EBAC and Nanoprobing

2012 ◽  
Author(s):  
P. Larré ◽  
H. Tupin ◽  
C. Charles ◽  
R.H. Newton ◽  
A. Reverdy
Keyword(s):  
Electron Beam ◽  
Failure Analysis ◽  
Test Structure ◽  
Precise Localization ◽  
Isolation Method ◽  
Accurate Detection ◽  
Conventional Methods ◽  
Technology Nodes ◽  
Tem Lamella

Abstract As technology nodes continue to shrink, resistive opens have become increasingly difficult to detect using conventional methods such as AVC and PVC. The failure isolation method, Electron Beam Absorbed Current (EBAC) Imaging has recently become the preferred method in failure analysis labs for fast and highly accurate detection of resistive opens and shorts on a number of structures. This paper presents a case study using a two nanoprobe EBAC technique on a 28nm node test structure. This technique pinpointed the fail and allowed direct TEM lamella.

scholarly journals A Novel Stacking Approach for Accurate Detection of Fake News

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 22626-22639
Author(s):  
Tao Jiang ◽  
Jian Ping Li ◽  
Amin Ul Haq ◽  
Abdus Saboor ◽  
Amjad Ali
Keyword(s):  
Fake News ◽  
Accurate Detection

Ultrasensitive detection of specific IgE based on nanomagnetic capture and separation with AuNP-anti-IgE nanobioprobe for signal amplification

2021 ◽  
Author(s):  
Mengda Cao ◽  
Yongxin Liu ◽  
Chen Lu ◽  
Miao Guo ◽  
Lin Li ◽  
...  
Keyword(s):  
Allergic Disease ◽  
Signal Amplification ◽  
Specific Ige ◽  
Ultrasensitive Detection ◽  
Accurate Detection ◽  
Personalized Diagnosis

The accurate detection of allergen specific IgE (sIgE) is fundamental in the diagnosis of allergic disease. The present commercial platforms fail to meet the need for personalized diagnosis, due to...

scholarly journals A Review of Monitoring Technologies for Solar PV Systems Using Data Processing Modules and Transmission Protocols: Progress, Challenges and Prospects

2021 ◽  
Vol 13 (15) ◽  
pp. 8120
Author(s):  
Shaheer Ansari ◽  
Afida Ayob ◽  
Molla S. Hossain Lipu ◽  
Mohamad Hanif Md Saad ◽  
Aini Hussain
Keyword(s):  
Data Processing ◽  
Data Transmission ◽  
Performance Enhancement ◽  
Critical Discussion ◽  
Signal Interference ◽  
Future Research ◽  
Transmission Protocol ◽  
Range Data ◽  
Solar Pv ◽  
Monitoring Technologies

Solar photovoltaic (PV) is one of the prominent sustainable energy sources which shares a greater percentage of the energy generated from renewable resources. As the need for solar energy has risen tremendously in the last few decades, monitoring technologies have received considerable attention in relation to performance enhancement. Recently, the solar PV monitoring system has been integrated with a wireless platform that comprises data acquisition from various sensors and nodes through wireless data transmission. However, several issues could affect the performance of solar PV monitoring, such as large data management, signal interference, long-range data transmission, and security. Therefore, this paper comprehensively reviews the progress of several solar PV-based monitoring technologies focusing on various data processing modules and data transmission protocols. Each module and transmission protocol-based monitoring technology is investigated with regard to type, design, implementations, specifications, and limitations. The critical discussion and analysis are carried out with respect to configurations, parameters monitored, software, platform, achievements, and suggestions. Moreover, various key issues and challenges are explored to identify the existing research gaps. Finally, this review delivers selective proposals for future research works. All the highlighted insights of this review will hopefully lead to increased efforts toward the enhancement of the monitoring technologies in future sustainable solar PV applications.

scholarly journals Bio-Separated and Gate-Free 2D MoS2 Biosensor Array for Ultrasensitive Detection of BRCA1

Nanomaterials ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 545
Author(s):  
Yi Zhang ◽  
Wei Jiang ◽  
Dezhi Feng ◽  
Chenguang Wang ◽  
Yi Xu ◽  
...  
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Chemical Vapor ◽  
Signal Interference ◽  
Ultrasensitive Detection ◽  
Chemical Vapor Deposition Growth ◽  
Biosensor Array ◽  
Growth Method ◽  
Biological Modification ◽  
Biological Solutions

2D molybdenum disulfide (MoS2)-based thin film transistors are widely used in biosensing, and many efforts have been made to improve the detection limit and linear range. However, in addition to the complexity of device technology and biological modification, the compatibility of the physical device with biological solutions and device reusability have rarely been considered. Herein, we designed and synthesized an array of MoS2 by employing a simple-patterned chemical vapor deposition growth method and meanwhile exploited a one-step biomodification in a sensing pad based on DNA tetrahedron probes to form a bio-separated sensing part. This solves the signal interference, solution erosion, and instability of semiconductor-based biosensors after contacting biological solutions, and also allows physical devices to be reused. Furthermore, the gate-free detection structure that we first proposed for DNA (BRCA1) detection demonstrates ultrasensitive detection over a broad range of 1 fM to 1 μM with a good linear response of R2 = 0.98. Our findings provide a practical solution for high-performance, low-cost, biocompatible, reusable, and bio-separated biosensor platforms.

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