A rapid and simple method to assess the changes of human VEGF mRNA based on dual molecular beacons

2014 ◽  
Vol 6 (13) ◽  
pp. 4585-4592 ◽  
Author(s):  
Bin Liu ◽  
Wei Wang ◽  
Chen Li ◽  
Chunyi Tong ◽  
Ying Long

A fluorescence method with wide promising applications was developed for VEGF mRNA assay with high accuracy and specificity by applying dual molecular beacons as probes.

2002 ◽  
Vol 8 (S02) ◽  
pp. 438-439
Author(s):  
J. T. Armstrong ◽  
R. B. Marinenko ◽  
J. M. Davis

1943 ◽  
Vol 16 (2) ◽  
pp. 388-399 ◽  
Author(s):  
J. W. Van Dalfsen

Abstract In connection with a study of various kinds of vulcanized rubber, including rubber films from vulcanized latex and latex films vulcanized in the dry state, it seemed desirable to investigate the packing of the latex particles. To what extent, for example, are these still present or are they coalesced? It is known that the diffusion of water vapor through solid substances may give an indication of the internal structure of matter. With this in mind, a search was made for a simple method to determine the diffusion of water vapor through rubber; high accuracy was not required so much as were simplicity and adaptability to a long series of experiments. Such a procedure was found in the method described by Hoekstra for determining the permeability of varnish films to water vapor. A detailed description of the method is given later in this paper. More accurate methods of determination, applied to rubber, have previously been described by others, but these procedures are less suitable for systematic tests.


2019 ◽  
Vol 889 ◽  
pp. 469-474
Author(s):  
Trung Kien Hoang ◽  
Nguyen Minh Duc Ta

Computer numerical control (CNC) machine tool plays an extremely significant role in any manufacturing industry due to its automation and high accuracy. Keeping the CNC machine tool at its highest performance to meet the demand of high accuracy machining is always significant. To maintain the accuracy of a machine tool over the time, it is important to measure and compensate the geometric error, one of the main error source of machine tool, especially when the machine get old. There are totally 21 geometrical errors in a 3-axis machine tool including three translational errors and three rotational errors for each axis and three perpendicular error (Squareness) within three axes of the machine. This paper presents an economical and simple method for measuring the geometric error of a 3-axis CNC machine tool based on the machining of actual samples. Three samples for each axis will be machined following a design cutting path. The samples will then be measured using a coordinate measuring machine (CMM). The collect data will be used for estimating the geometric errors. The volumetric errors will be then computed and verified through machining of 3D geometries.


2021 ◽  
Vol 21 (11) ◽  
pp. 283
Author(s):  
Li-Si Chen ◽  
Zhong-Wen Hu ◽  
Hai-Jiao Jiang ◽  
Hui-Min Kang ◽  
Chen-Zhong Wang

Abstract A simple method for measuring grating groove density as well as its position and orientation is proposed based on the idea of ERT (Experimental Ray Tracing). Conventional methods only measure grating groove density with accuracy limited by its rotary stage and goniometer. The method proposed in the paper utilizes linear guides which could be calibrated to much higher accuracy. It is applicable to gratings of arbitrary surface profile or mosaic of a group of various gratings. Various measurement error sources are simulated by the Monte Carlo method and the results show high accuracy capability of grating parameters identification. A verification testing is performed. The accuracy dependency on main configuration parameters is evaluated. A method to expand measurement range by double wavelength is also discussed.


Author(s):  
Avi Karsenty ◽  
Shmuel Feldman ◽  
Zvi Veig ◽  
Yoel Arieli

This article describes a new approach for performing full field imaging ellipsometry. In this new technique, the objective lens of a high numerical aperture microscope is used to illuminate the surface of a 2D object. The light reflected from each point of the surface is gathered by the same lens and projected onto a 2D CCD detectors array; thus, enabling the measurement of numerous surface points simultaneously. Using this simple method, areas of up to 0.9 cm2 can be measured with high accuracy. Since the nanotechnology domain is rapidly growing, such a technique can bring benefits to the scientific community, facing the need to analyze large surfaces of thin films.


2001 ◽  
Vol 550 (2) ◽  
pp. L143-L146 ◽  
Author(s):  
Atsushi Kawai ◽  
Junichiro Makino

2010 ◽  
Vol 81 (6) ◽  
pp. 065105 ◽  
Author(s):  
Yi-Lin Hung ◽  
Yao-Yuan Chang ◽  
Meng-Jiy Wang ◽  
Shi-Yow Lin

2020 ◽  
Author(s):  
Ying-Feng Zheng ◽  
Zhi-Chao Chen ◽  
Zhuo-Xing Shi ◽  
Kun-Hua Hu ◽  
Jia-Yong Zhong ◽  
...  

AbstractSingle-cell isoform sequencing can reveal transcriptomic dynamics in individual cells invisible to bulk- and single-cell RNA analysis based on short-read sequencing. However, current long-read single-cell sequencing technologies have been limited by low throughput and high error rate. Here we introduce HIT-scISOseq for high-throughput single-cell isoform sequencing. This method was made possible by full-length cDNA capture using biotinylated PCR primers, and by our novel library preparation procedure that combines head-to-tail concatemeric full-length cDNAs into a long SMRTbell insert for high-accuracy PacBio sequencing. HIT-scISOseq yields > 10 million high-accuracy full-length isoforms in a single PacBio Sequel II 8M SMRT Cell, providing > 8 times more data output than the standard single-cell isoform PacBio sequencing protocol. We exemplified HIT-scISOseq by first studying transcriptome profiles of 4,000 normal and 8,000 injured corneal epitheliums from cynomolgus monkeys. We constructed dynamic transcriptome landscapes of known and rare cell types, revealed novel isoforms, and identified injury-related splicing and switching events that are previously not accessible with low throughput isoform sequencing. HIT-scISOseq represents a high-throughput, cost-effective, and technically simple method to accelerate the burgeoning field of long-read single-cell transcriptomics.


2015 ◽  
Vol 3 ◽  
pp. 419-432 ◽  
Author(s):  
Ella Rabinovich ◽  
Shuly Wintner

Translated texts are distinctively different from original ones, to the extent that supervised text classification methods can distinguish between them with high accuracy. These differences were proven useful for statistical machine translation. However, it has been suggested that the accuracy of translation detection deteriorates when the classifier is evaluated outside the domain it was trained on. We show that this is indeed the case, in a variety of evaluation scenarios. We then show that unsupervised classification is highly accurate on this task. We suggest a method for determining the correct labels of the clustering outcomes, and then use the labels for voting, improving the accuracy even further. Moreover, we suggest a simple method for clustering in the challenging case of mixed-domain datasets, in spite of the dominance of domain-related features over translation-related ones. The result is an effective, fully-unsupervised method for distinguishing between original and translated texts that can be applied to new domains with reasonable accuracy.


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