Literature DB >> 14057371

SPECTROSCOPIC ULTRAMICROANALYSIS WITH A LASER.

R C ROSAN, M K HEALY, W F MCNARY.   

Abstract

A microbeam probe capable of vaporizing many biological materials is formed by focusing a conventional laser through a microscope objective. The elemental gases which are excited by this demagnified spot are raised to emission levels when sparked between carbon electrodes. Elemental analysis is then performed on the excited material by conventional spectroscopy. The method is simple and rapid. Simultaneous analysis of multiple elements is practical.

Entities:  

Keywords:  BERYLLIUM; BRAIN; CALCIUM; CALCULI; COPPER; ELASTIC TISSUE; IRON; ISLANDS OF LANGERHANS; LASERS; MANGANESE; MICROCHEMISTRY; PANCREAS; RADIATION; SPECTRUM ANALYSIS; ZINC

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Substances:

Year:  1963        PMID: 14057371     DOI: 10.1126/science.142.3589.236

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  7 in total

1.  Study of allergenic fungi by means of a laser beam.

Authors:  M Thibaut; M Ansel; A Carneiro J De
Journal:  Br J Exp Pathol       Date:  1979-04

2.  Preparation of histochemical sections for quantitative determination of acid phosphatase activity by means of laser microanalysis.

Authors:  M Kozik; J Warchol; B Arcimowicz
Journal:  Histochemie       Date:  1971

3.  Staining and relative determination of elemental contents by the laser microprobe.

Authors:  H Gotoh; M Murota; A Kamiyama
Journal:  Histochemistry       Date:  1979-10

4.  Lasers as tools for mycology.

Authors:  M Thibaut; M Ansel; J de Azevedo Carneiro
Journal:  Br J Exp Pathol       Date:  1983-08

5.  The application of laser microscopy to the spectrochemical analysis of fungal tissues.

Authors:  M Thibaut; M Ansel; H Saez
Journal:  Br J Exp Pathol       Date:  1981-10

6.  Application of the laser to the study of pathogenic fungi.

Authors:  M Thibaut
Journal:  Med Microbiol Immunol       Date:  1979-05-15       Impact factor: 3.402

7.  Intelligent Aging Home Control Method and System for Internet of Things Emotion Recognition.

Authors:  Xu Wu; Qian Zhang
Journal:  Front Psychol       Date:  2022-05-09
  7 in total

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