Ground characterization of the Wide-field Infrared Explorer (WIRE) instrument

1998 ◽  
Author(s):  
John C. Kemp ◽  
Mark F. Larsen ◽  
James Q. Peterson ◽  
Steven D. Sargent
2014 ◽  
Vol 785 (2) ◽  
pp. 148 ◽  
Author(s):  
Sukrit Ranjan ◽  
David Charbonneau ◽  
Jean-Michel Désert ◽  
Nikku Madhusudhan ◽  
Drake Deming ◽  
...  

Author(s):  
S. Karpov ◽  
A. Christov ◽  
A. Bajat ◽  
R. Cunniffe ◽  
M. Prouza

Here we review the efforts we take in a newly established laboratory inside Institute of Physics in Prague in order to characterize modern large-format CCD and CMOS sensors for sky survey applications. While the laboratory is primarily established in order to participate in low-level CCD sensor characterization for LSST project, we also managed to perform a thorough laboratory testing of recently released Andor Marana sCMOS (which is especially interesting for wide-field sky monitoring applications due to its large format, backilluminated design, high achievable frame rate and low read-out noise), as well as detailed measurements of response non-linearity of Moravian Instruments G4-16000 CCD cameras (based on large-format Kodak KAF-16803 chip) used in several robotic telescopes. We briefly review the results acquired on these cameras, as well as hardware and software we developed for the laboratory.


2021 ◽  
Vol 22 (Supplement_2) ◽  
Author(s):  
AE Elagha ◽  
YB Beniamin ◽  
WE El-Aroussy ◽  
MM Meshaal

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Echocardiography is a reliable imaging tool in diagnosing infective endocarditis (IE) according to "modified Dukes criteria"; however, it lacks tissue characterization of cardiac masses, and transthoracic echocardiography (TTE) has low sensitivity in detection of vegetations. Moreover, transesophageal echo (TEE) is considered semi-invasive and intolerable in some situations .On the other hand, cardiac magnetic resonance (CMR) is a powerful true 3D imaging tool with wide field of view, and superior capability of tissue characterization of cardiac masses; however, modest information is available about utility of CMR in diagnosing IE. Purpose To assess the feasibility of CMR to identify vegetations and complications of IE, and compare obtained findings with those obtained from echocardiography regarding: presence, number, size of vegetations, and detection of cardiac complications (e.g. aortic root abscess, periannular abscess, and shunts). Materials and Methods Eighty consecutive patients with suspected IE were enrolled in the study. All patients underwent TTE; only those with left-sided lesions underwent TEE.  When clinical situation allowed, CMR examination using 1.5 Tesla magnet were performed using the following sequences: Steady-state free precession (SSFP), T1W (± fat suppression) and T2W, first-pass perfusion, and delayed hyperenhancement. Moreover, chest and abdominal survey was done. Results Sixty-one patients (45 males and 16 females) were able to undergo and complete CMR study. Affection of tricuspid valve was seen in 39.3%, mitral 31.1%, aortic 24.6%, and pulmonary 4.9% of cases. All vegetations visualized by echocardiography were also clearly detected and confirmed by CMR. The sensitivity, specificity, accuracy and Kappa agreement of CMR with echocardiography in depicting >0.5cm vegetations were all 100%. By tissue characterization, vegetations resemble features of thrombi (with variation in signal intensity according to age of vegetation). However, in some cases, masses have a unique pattern that is different from vegetations of IE, and subsequently other diagnoses were suggested (e.g. fibroelastoma, Libman-Saks endocarditis). In 22 patients, CMR provided more information than echocardiography, and in 6 patients, CMR made a paradigm shift of diagnosis. Conclusion Cardiac MRI is a powerful imaging tool in diagnosis of IE and its complications. In comparison with echocardiography, CMR can identify the presence, numbers, and size of vegetations accurately. Moreover, with its unique ability of tissue characterization, CMR helps distinguish vegetations from other masses; therefore changes the diagnosis of IE and subsequent management in some patients.


2016 ◽  
Author(s):  
Magdalena Szafraniec ◽  
R. Azzollini ◽  
M. Cropper ◽  
S. Pottinger ◽  
A. Khalil ◽  
...  

2009 ◽  
Vol 42 (13) ◽  
pp. 135103 ◽  
Author(s):  
J McGinty ◽  
J Requejo-Isidro ◽  
I Munro ◽  
C B Talbot ◽  
P A Kellett ◽  
...  

Author(s):  
Grégory P. Lousberg ◽  
Olivier Pirnay ◽  
Virgile Monamy ◽  
Katja Rieth ◽  
Fabien Lemagne ◽  
...  

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