Literature DB >> 2643764

Solid-state imagers for microscopy.

R S Aikens1, D A Agard, J W Sedat.   

Abstract

Solid-state imagers offer a variety of options to the modern optical microscopist. Photodiode arrays, charge injection devices, and charge-coupled devices are the three basic types of solid-state imagers available for research imaging. The charge-coupled device (CCD) is the solid-state imager of choice, because of its superior characteristics and its widespread acceptance in the research environment. The performance characteristics of the CCD are well documented and understood, having been quantified by many experimenters, especially in the physical sciences. CCDs exhibit dynamic ranges up to 50,000:1, very high quantum efficiency, and ultralow noise. The camera system in which a device is used, however, dictates the overall performance which can be achieved. The CCD imaging system as it applies to cell biology is discussed in detail in Hiraoka et al. (1987). A video camera operating at 30 frames/second does not provide the resolution, low noise, dynamic range, and linearity of a slow scan, cooled camera operating at 1 frame/second. Conversely, a slow scan camera does not offer the user the facility to resolve rapidly changing events in real time. The analogy between an 8-mm movie camera (video camera) and a 35-mm snapshot camera (slow scan cooled camera) is a useful one to emphasize the different character of these two electronic imaging systems. These two basic camera systems both employ CCD imagers, and each has very different, but complementary, characteristics. No one camera system can address the wide variety of imaging problems which face the modern microscopist. The user of this new generation of instrumentation must decide which system best fits the problem at hand.

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Year:  1989        PMID: 2643764     DOI: 10.1016/s0091-679x(08)60199-5

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  13 in total

1.  In situ hybridization with fluoresceinated DNA.

Authors:  J Wiegant; T Ried; P M Nederlof; M van der Ploeg; H J Tanke; A K Raap
Journal:  Nucleic Acids Res       Date:  1991-06-25       Impact factor: 16.971

2.  Time resolved imaging microscopy. Phosphorescence and delayed fluorescence imaging.

Authors:  G Marriott; R M Clegg; D J Arndt-Jovin; T M Jovin
Journal:  Biophys J       Date:  1991-12       Impact factor: 4.033

3.  Noise-induced systematic errors in ratio imaging: serious artefacts and correction with multi-resolution denoising.

Authors:  Yu-Li Wang
Journal:  J Microsc       Date:  2007-11       Impact factor: 1.758

Review 4.  A user's guide for avoiding errors in absorbance image cytometry: a review with original experimental observations.

Authors:  P Chieco; A Jonker; C Melchiorri; G Vanni; C J Van Noorden
Journal:  Histochem J       Date:  1994-01

Review 5.  Basic strategies for valid cytometry using image analysis.

Authors:  A Jonker; W J Geerts; P Chieco; A F Moorman; W H Lamers; C J Van Noorden
Journal:  Histochem J       Date:  1997-05

Review 6.  Robert Feulgen Prize Lecture 1995. Electronic light microscopy: present capabilities and future prospects.

Authors:  D M Shotton
Journal:  Histochem Cell Biol       Date:  1995-08       Impact factor: 4.304

7.  Seeing circuits assemble.

Authors:  Jeff W Lichtman; Stephen J Smith
Journal:  Neuron       Date:  2008-11-06       Impact factor: 17.173

8.  Detection of complete and partial chromosome gains and losses by comparative genomic in situ hybridization.

Authors:  S du Manoir; M R Speicher; S Joos; E Schröck; S Popp; H Döhner; G Kovacs; M Robert-Nicoud; P Lichter; T Cremer
Journal:  Hum Genet       Date:  1993-02       Impact factor: 4.132

9.  Temporal and spatial coordination of chromosome movement, spindle formation, and nuclear envelope breakdown during prometaphase in Drosophila melanogaster embryos.

Authors:  Y Hiraoka; D A Agard; J W Sedat
Journal:  J Cell Biol       Date:  1990-12       Impact factor: 10.539

10.  A posteriori correction of camera characteristics from large image data sets.

Authors:  Pavel Afanasyev; Raimond B G Ravelli; Rishi Matadeen; Sacha De Carlo; Gijs van Duinen; Bart Alewijnse; Peter J Peters; Jan-Pieter Abrahams; Rodrigo V Portugal; Michael Schatz; Marin van Heel
Journal:  Sci Rep       Date:  2015-06-11       Impact factor: 4.379

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