Interactive electron energy-loss elemental mapping by the "Imaging-Spectrum" method

Lavergne, Jean-Louis; Martin, Jean‐Michel; Belin, M.

doi:10.1051/mmm:0199200306051700

Cited by 89 publications

(36 citation statements)

References 11 publications

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“…All these studies use the scanned beam method, but a field emission gun is necessary to perform these analyses at a sub-nanometer spatial resolution. On the other hand Lavergne et al [28] have demonstrated how it is possible to extract compositional maps from image-spectra using a fixed-beam filtering microscope (Zeiss 902). They have developed a method which produces portions of EELS spectra for any point of a given image, based on the exploitation of a series of energy filtered images recorded with a given energy loss increment.…”

Section: ) Hardware and Software Instrumentation For Data Acquisitiomentioning

confidence: 98%

Electron energy loss spectrometry mapping

et al. 1994

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Abstract. Among electron beam microanalytical techniques, electron energy loss spectrometry (EELS) offers unique advantages in terms of information content, sensitivity, limits of detection. This paper describes new methods and tools for acquiring families of spectra over many pixels on the specimen, i.e. spectrumimages, and for processing them. Applications in different fields of research, both in materials science and in life sciences, demonstrate the potential impact of the technique for characterizing nano-sized structures.Key words: electron microscopy, nanoanalysis, electron energy loss spectrum, image-spectrum aquisition and processing.Electron energy loss spectrometry (EELS) measures the energy loss suffered by high energy incident electrons transmitted through the specimen prepared as a thin foil. Its information content is very diversified. The low loss range, between 5 and 50 eV, reflects mostly the collective behaviour of the conduction electron gas through the appearance of plasmon peaks, the energy of which is determined by the average electron density. After some lengthy data analysis one can also have access to optical properties and to localized surface electronic properties. The high energy range, from 50 eV up to 1000 or 2000 eV, exhibits the core-edges associated with the excitation of inner-shell atomic levels. Its main interest is for elemental identification. Moreover the study of the fine structures on these edges offers fingerprints for the determination of site symmetry and for the evaluation of bond lengths.When recorded in the electron microscope, EELS data also contain spatial information [1], which is usually intended for chemical analysis. In essence, one makes a map of the spatial origin of chemically significant signals such as the characteristic core-edges and this technique complements the standard X-ray compositional imaging mode. However it constitutes only one aspect of the richness of the field of applications for EELS mapping. The present paper discusses recent progress in spatially resolved EELS and its use as a nanoanalytical tool, in which spectra can be acquired from many adjacent nanosized areas in a heterogeneous material and processed quantitatively.

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Section: ) Hardware and Software Instrumentation For Data Acquisitiomentioning

confidence: 98%

Electron energy loss spectrometry mapping

et al. 1994

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“…While the 'Imaging-spectrum' and 'Image-EELS' methods (Lavergne et al, 1992(Lavergne et al, , 1994Körtje, 1994) yield spectra which can be processed further, videodensitometry yields a particular sort of plot which gives only qualitative information. However, videodensitometry is presently the only method which allows the detection of small local concentrations of biologically relevant elements directly from micrographs where the instrumentation for Image-EELS is not affordable.…”

Section: I D E O D E N S I T O M E T Ry F O R M I C Roa Na Lys I Smentioning

confidence: 99%

“…Some peculiarities of this method will be discussed here further to verify the reliability of the results. Alternative methods of densitometric image evaluations have been published, called 'Imaging-Spectrum' (Lavergne et al, 1992;Lavergne et al, 1994) and 'Image-EELS' (Körtje, 1994), respectively, to distiguish them from the 'Spectrum-Imaging' method (Hunt & Williams, 1991) in which images are created by pixel-to-pixel evaluation of parallel EEL spectra sampled in the STEM.…”

Section: Introductionmentioning

confidence: 99%

Videodensitometric analysis of electron spectroscopic micrographs — a tool for detection of biologically relevant elements with high resolution

Door¹,

Breitig

Martin³

1997

Journal of Microscopy

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SummaryElectron energy-loss spectroscopic imaging (ESI) yields highresolution, element-sensitive images. However, ESI suffers from difficulties in distinguishing element-specific and background contributions. New methods have therefore been introduced which use grey-level measurements in micrographic images for a more accurate detection of element distributions. A videodensitometric method allowed the detection of low phosphorus levels in axoplasmic neurofilaments of squid giant axons. Here we further verify these results by investigating the relationship of videodensitometry and electron energy-loss spectroscopy (EELS), particularly considering the peculiarities of these methods in terms of automatic background correction and representation of the results. Six biological specimens and two nonbiological specimens were examined both by EELS and by videodensitometry. In all cases comparable results were obtained. The overlapping P L2,3 and S L2,3 ionization edges could clearly be recognized individually by both methods, and controls showed that mass density variations within the specimens did not impair elemental analysis. Additional evidence supporting the detection of phosphorylation sites in squid neurofilaments was obtained in both EELS and videodensitometric measurements of neurofilament-enriched pellets and of aggregated axoplasmic particles. Thus, videodensitometry appears to be a useful tool for an improved exploration of the full imaging capabilities of energy filtering electron microscopy.

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“…The technique is accordingly called STEM EELS SI. In the alternative technique, the sample is illuminated by a parallel beam and energy-filtering TEM (EFTEM) imaging is used to acquire image series of adjacent energy intervals [18]. This technique is referred to as EFTEM SI.…”

Section: Introductionmentioning

confidence: 99%

Comparison of EFTEM and STEM EELS plasmon imaging of gold nanoparticles in a monochromated TEM

et al. 2010

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We present and compare two different imaging techniques for plasmonic excitations in metallic nanoparticles based on high energy-resolution electron energy-loss spectroscopy in a monochromated transmission electron microscope. We demonstrate that a recently developed monochromated energy-filtering (EFTEM) approach can be used in addition to the well established scanning technique to directly obtain plasmon images in the energy range below 1 eV. The EFTEM technique is described in detail, and a double experiment performed on the same, triangular gold nanoparticle compares equivalent data acquired by both techniques, respectively.

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Interactive electron energy-loss elemental mapping by the "Imaging-Spectrum" method

Cited by 89 publications

References 11 publications

Electron energy loss spectrometry mapping

Electron energy loss spectrometry mapping

Videodensitometric analysis of electron spectroscopic micrographs — a tool for detection of biologically relevant elements with high resolution

Comparison of EFTEM and STEM EELS plasmon imaging of gold nanoparticles in a monochromated TEM

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