scholarly journals Direct detection of SARS-CoV-2 RNA using high-contrast pH-sensitive dyes

2021 ◽  
Vol 32 (3) ◽  
pp. 121-133
Author(s):  
Timothy A. Brown ◽  
Katherine S. Schaefer ◽  
Arthur Tsang ◽  
Hyun Ah Yi ◽  
Jonathan B. Grimm ◽  
...  
2019 ◽  
Vol 621 ◽  
pp. A59 ◽  
Author(s):  
T. Stolker ◽  
M. J. Bonse ◽  
S. P. Quanz ◽  
A. Amara ◽  
G. Cugno ◽  
...  

Context. The direct detection and characterization of planetary and substellar companions at small angular separations is a rapidly advancing field. Dedicated high-contrast imaging instruments deliver unprecedented sensitivity, enabling detailed insights into the atmospheres of young low-mass companions. In addition, improvements in data reduction and point spread function (PSF)-subtraction algorithms are equally relevant for maximizing the scientific yield, both from new and archival data sets. Aims. We aim at developing a generic and modular data-reduction pipeline for processing and analysis of high-contrast imaging data obtained with pupil-stabilized observations. The package should be scalable and robust for future implementations and particularly suitable for the 3–5 μm wavelength range where typically thousands of frames have to be processed and an accurate subtraction of the thermal background emission is critical. Methods. PynPoint is written in Python 2.7 and applies various image-processing techniques, as well as statistical tools for analyzing the data, building on open-source Python packages. The current version of PynPoint has evolved from an earlier version that was developed as a PSF-subtraction tool based on principal component analysis (PCA). Results. The architecture of PynPoint has been redesigned with the core functionalities decoupled from the pipeline modules. Modules have been implemented for dedicated processing and analysis steps, including background subtraction, frame registration, PSF subtraction, photometric and astrometric measurements, and estimation of detection limits. The pipeline package enables end-to-end data reduction of pupil-stabilized data and supports classical dithering and coronagraphic data sets. As an example, we processed archival VLT/NACO L′ and M′ data of β Pic b and reassessed the brightness and position of the planet with a Markov chain Monte Carlo analysis; we also provide a derivation of the photometric error budget.


2013 ◽  
Vol 8 (S299) ◽  
pp. 1-11 ◽  
Author(s):  
Beth Biller

AbstractThe last decade has yielded the first images of exoplanets, considerably advancing our understanding of the properties of young giant planets. In this talk I will discuss current results from ongoing direct imaging efforts as well as future prospects for detection and characterization of exoplanets via high contrast imaging. Direct detection, and direct spectroscopy in particular, have great potential for advancing our understanding of extrasolar planets. In combination with other methods of planet detection, direct imaging and spectroscopy will allow us to eventually: 1) study the physical properties of exoplanets (colors, temperatures, etc.) in depth and 2) fully map out the architecture of typical planetary systems. Direct imaging has offered us the first glimpse into the atmospheric properties of young high-mass (3-10 MJup) exoplanets. Deep direct imaging surveys for exoplanets have also yielded the strongest constraints to date on the statistical properties of wide giant exoplanets. A number of extremely high contrast exoplanet imaging instruments have recently come online or will come online within the next year (including Project 1640, SCExAO, SPHERE, GPI, among others). I will discuss future prospects with these instruments.


2003 ◽  
Vol 91 (2) ◽  
pp. 890-893 ◽  
Author(s):  
Woo Young Chung ◽  
Sang Min Lee ◽  
Sang Man Koo ◽  
Dong Hack Suh

2020 ◽  
Vol 11 (1) ◽  
pp. 72-99
Author(s):  
N. O. Mchedlov-Petrossyan ◽  
◽  
O. N. Bezkrovnaya ◽  
N. A. Vodolazkaya ◽  
◽  
...  

2021 ◽  
Author(s):  
Timothy A. Brown ◽  
Katherine S. Schaefer ◽  
Arthur Tsang ◽  
Hyun Ah Yi ◽  
Jonathan B. Grimm ◽  
...  

AbstractThe worldwide COVID-19 pandemic has had devastating effects on health, healthcare infrastructure, social structure, and economics. One of the limiting factors in containing the spread of this virus has been the lack of widespread availability of fast, inexpensive, and reliable methods for testing of individuals. Frequent screening for infected and often asymptomatic people is a cornerstone of pandemic management plans. Here, we introduce two pH sensitive ‘LAMPshade’ dyes as novel readouts in an isothermal RT- LAMP amplification assay for SARS-CoV-2 RNA. The resulting JaneliaLAMP (jLAMP) assay is robust, simple, inexpensive, has low technical requirements and we describe its use and performance in direct testing of contrived and clinical samples without RNA extraction.


2018 ◽  
Vol 614 ◽  
pp. A142 ◽  
Author(s):  
O. Herscovici-Schiller ◽  
L. M. Mugnier ◽  
P. Baudoz ◽  
R. Galicher ◽  
J.-F. Sauvage ◽  
...  

Context. The next generation of space-borne instruments dedicated to the direct detection of exoplanets requires unprecedented levels of wavefront control precision. Coronagraphic wavefront sensing techniques for these instruments must measure both the phase and amplitude of the optical aberrations using the scientific camera as a wavefront sensor. Aims. In this paper, we develop an extension of coronagraphic phase diversity to the estimation of the complex electric field, that is, the joint estimation of phase and amplitude. Methods. We introduced the formalism for complex coronagraphic phase diversity. We have demonstrated experimentally on the Très Haute Dynamique testbed at the Observatoire de Paris that it is possible to reconstruct phase and amplitude aberrations with a subnanometric precision using coronagraphic phase diversity. Finally, we have performed the first comparison between the complex wavefront estimated using coronagraphic phase diversity (which relies on time-modulation of the speckle pattern) and the one reconstructed by the self-coherent camera (which relies on the spatial modulation of the speckle pattern). Results. We demonstrate that coronagraphic phase diversity retrieves complex wavefront with subnanometric precision with a good agreement with the reconstruction performed using the self-coherent camera. Conclusions. This result paves the way to coronagraphic phase diversity as a coronagraphic wave-front sensor candidate for very high contrast space missions.


2013 ◽  
Vol 771 (1) ◽  
pp. 46 ◽  
Author(s):  
Justin R. Crepp ◽  
John Asher Johnson ◽  
Andrew W. Howard ◽  
Geoff W. Marcy ◽  
Debra A. Fischer ◽  
...  

2012 ◽  
Vol 80 ◽  
pp. 47-52 ◽  
Author(s):  
Lien Van der Schueren ◽  
Karen de Clerck

Recently, an increasing interest in pH-sensitive textiles is recognized. These chromic textiles can be used as flexible sensors for various applications. The aim of the current research is to develop textile pH-sensors through the application of pH-sensitive dyes on various textile materials using different techniques. The results of our study show that halochromic dyes can be incorporated into conventional textiles by a conventional dyeing technique. Also coating the fabrics with a sol-gel layer containing the halochromic dye proved to be successful. The majority of these developed materials showed a clearly visible color change with a pH-variation. The response of the sensors was dependent on the density of the fabric but was generally relatively fast, especially for the sol-gel treated fabrics. The halochromic coloration of nanofibres was realized by directly adding the dyes during the fiber formation, which was shown to be highly effective. Again, a clear halochromic shift was observed. The response of these sensors was fast thanks to the high porosity of nanofibrous non-wovens. Yet, it should be kept in mind that the halochromic behavior of the dyes in the textile matrix altered compared to their behavior in solution which is most likely attributed to dye-fiber interactions. Generally we can conclude that various coloration techniques showed to be effective for the development of innovative textile pH-sensors.


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