Characterization of a CCD and camera system for atomic emission spectroscopy

Huw Prytherch

doi:10.1117/12.204819

14 March 1995 Characterization of a CCD and camera system for atomic emission spectroscopy

Huw Prytherch

Proceedings Volume 2416, Cameras and Systems for Electronic Photography and Scientific Imaging; (1995) https://doi.org/10.1117/12.204819
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

CCD detector arrays have potential applications in the field of Atomic Emission Spectroscopy (AES). If used with a cross dispersive polychromator, a two dimensional array offers the possibility of providing fast, simultaneous, multielement analyses. This paper describes the characterization of a 1280 X 1024 pixel CCD with antiblooming structures, together with a flexible camera system. The characteristics are considered with respect to AES. The results presented in this paper cover the aspects of, dark currents, spurious events, CTE at low signal levels, linearity, full-well antiblooming levels. Conclusions are made about the suitability of this CCD detector to the above application.

Citation Download Citation

Huw Prytherch "Characterization of a CCD and camera system for atomic emission spectroscopy", Proc. SPIE 2416, Cameras and Systems for Electronic Photography and Scientific Imaging, (14 March 1995); https://doi.org/10.1117/12.204819

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available