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Processing Backscattered Electron Digital Images of Thin Section

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Image Analysis, Sediments and Paleoenvironments

Part of the book series: Developments in Paleoenvironmental Research ((DPER,volume 7))

Summary

Image analysis of sedimentary particles using backscatter electron (BSE) microscopy shows great promise in paleoclimatic and paleoenvironmental studies. Prior to the last few years BSE microscopy has been used primarily for compositional (provenance) studies. Our preliminary work on Paleozoic loessite, as well as previous work on recent sediments (Francus 1998; Francus and Karabanov 2000), suggests that BSE microscopy image analysis is an effective tool for deriving textural data for use as a paleoclimate proxy. Our data on the Paleozoic loessite shows that we are able to document changes in grain size of quartz through several loessite-paleosol couplets. In each case, the quartz was coarser in the loessite facies relative to the overlying paleosol, which is similar to grain size trends observed in the Quaternary Chinese Loess Plateau. Image acquisition is a critical step in this methodology, however, special precautions are needed to make sure that 1) the samples are suitably prepared, 2) the acquisition instrument’s settings are controlled and maintained, and 3) the acquisition system provides an output of suitable resolution. Processing is similar to other types of imagery subjected to image analysis, and includes calibration, filtering, and image segmentation and thresholding. An important component of processing is testing how different filters affect grain boundaries, particularly if grain size or grain shape is to be measured. In terms of image measurements, the magnification is an important consideration, and should be consistent; with standard BSE detectors, grains smaller than approximately 2 μm can not be resolved because of the size of the interaction volume of the backscatter electrons. As the case study illustrates, measurements of grain size or grain perimeter in this methodology do not translate into actual grain size information because of stereological considerations, however, relative changes in grain parameters yield useful information. The two biggest drawbacks of the present methodology are that it is difficult to keep acquisition conditions constant, and that data collection is time consuming. As instruments with BSE capabilities improve with more digital controls, acquisition will become much more stable, and as protocols are developed, it will be possible to semi-automate the procedure, allowing for a much faster rate of data collection.

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References

  • Anselmetti F.S., Luthi S. and Eberli G.P. 1998. Quantitative characterization of carbonate pore systems by digital image analysis. Am. Assoc. Pet. Geol. Bull. 82: 1815–1836.

    Google Scholar 

  • Buchter B., Hinz C. and Fluhler H. 1994. Sample-size for determination of coarse fragment content in a stony soil. Geoderma 63: 265–275.

    Article  Google Scholar 

  • Camuti K.S. and McGuire P.T. 1999. Preparation of polished thin sections from poorly consolidated regolith and sediment materials. Sed. Geol. 128: 171–178.

    Article  Google Scholar 

  • Crowell J.C. 1978. Continental glaciation, cyclothems, continental positioning, and climate change. Am. J. Sci. 278: 1345–1372.

    Google Scholar 

  • De Keyser T.L. 1999. Digital scanning of thin sections and peels. J. Sed. Res. 69: 962–964.

    Google Scholar 

  • Francus P. 1998. An image-analysis technique to measure grain-size variation in thin sections of soft clastic sediments. Sed. Geol. 121: 289–298.

    Article  Google Scholar 

  • Francus P. and Karabanov E. 2000. A computer-assisted thin-section study of lake Baikal sediments: a tool for understanding sedimentary processes and deciphering their climatic signal. Int. J. Earth Sci. 89: 260–267.

    Article  Google Scholar 

  • Francus P. and Asikainen C.A. 2001. Sub-sampling unconsolidated sediments: a solution for the preparation of undisturbed thin-sections from clay-rich sediments. J. Paleolim. 26: 323–326.

    Article  Google Scholar 

  • Francus P., Keimig F. and Besonen M. 2002a. An algorithm to aid varves counting and measurement from thin-sections. J. Paleolim. 28: 283–286.

    Article  Google Scholar 

  • Francus P., Bradley R., Abbott M., Keimig F. and Patridge W. 2002b. Paleoclimate studies of minerogenic sediments using annually resolved textural parameters. Geophys. Res. Lett. 29: 59-1 to 59-4.

    Article  Google Scholar 

  • Freidman G.M. 1962. Comparison of moment measures for sieving and thin-section data in sedimentary petrological studies. J. Sed. Petrol. 32: 15–25.

    Google Scholar 

  • Goldstein J.I., Newbury D.E., Echlin P., Joy D.C., Romig A.D., Lyman C.E., Fiori C. and Lifshin E. 1992. Scanning Electron Microscopy and X-ray Microanalysis: a Text for Biologists, Materials Scientists, and Geologists. 2nd ed., Plenum Press, New York, 820 pp.

    Google Scholar 

  • Harrel J.A. and Erikssson K.A. 1979. Empirical conversion equations for thin-section and sieve derived size distribution parameters. J. Sed. Petrol. 49: 273–280.

    Google Scholar 

  • Hoang N., Soreghan M.J. and Soreghan G.S. 2002. Wind-strength variations inferred from quartz grain-size trends in the lower Cutler beds loessite (Pennsylvanian-Permian, Utah, U.S.A.). In: Lee J.A. and Zoback T.M. (eds), Proceedings of ICAR5/GCTE-SEN Joint Conference, International Center for Arid and Semiarid Lands Studies, Publication 02-2, pp. 387–390.

    Google Scholar 

  • Huang T.S., Yang G.J. and Tang G.Y. 1979. A fast two-dimensional median filtering algorithm. IEEE Trans. Acous. Speech Sig. Proces. ASSP-27: 13–18.

    Google Scholar 

  • Johnson S.Y. 1989. Significance of loessite in the Maroon Formation (Middle Pennsylvanian to Lower Permian), Eagle Basin, Northwestern Colorado. J. Sed. Petrol. 59: 782–791.

    Google Scholar 

  • Kemp A.E.S., Dean A., Pearce R.B. and Pike J. 2001. Recognition and analysis of bedding and sediment fabric features. In: Last W. and Smol J. (eds), Tracking Environmental Change Using Lake Sediments: Physical and Geochemical Methods. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 7–22.

    Google Scholar 

  • Krinsley D.H., Pye K., Boggs S. Jr. and Tovey N.K. 1998. Backscattered Scanning Electron Microscopy and Image Analysis of Sediments and Sedimentary Rocks. Cambridge University Press, Cambridge, United Kingdom, 193 pp.

    Google Scholar 

  • Krumbein W.C. 1935. Thin-section mechanical analysis of indurated sediments. J. Geol. 43: 482–496.

    Google Scholar 

  • Last W. 2001. Textural analysis of lake sediments. In: Last W. and Smol J. (eds), Tracking Environmental Change Using Lake Sediments: Physical and Geochemical Methods. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 41–81.

    Google Scholar 

  • Moreland K.M., Soreghan M.J. and Soreghan G.S. 2002. Wind-strength variations inferred from quartz grain-size trends in the Maroon Formation loessite (Pennsylvanian-Permian, Colorado, U.S.A.). In: Lee J.A. and Zoback T.M. (eds), Proceedings of ICAR5/GCTE-SEN Joint Conference, International Center for Arid and Semiarid Lands Studies, Publication 02-2, pp. 404–407.

    Google Scholar 

  • Murphy C.P. 1986. Thin Section Preparation of Soils and Sediments. A. B. Acad. Publ., Berhamsted, UK, 149 pp.

    Google Scholar 

  • Parrish J.T. 1993. Climate of the supercontinent Pangea. J. Geol. 101: 215–233.

    Google Scholar 

  • Porter S.C. and An Z. 1995. Correlation between climate events in the North Atlantic and China during the last glaciation. Nature 375: 305–308.

    Article  Google Scholar 

  • Pye K. 1984. Rapid estimation of porosity and mineral abundance in backscattered electron images using a simple SEM image analyzer. Geol. Mag. 121: 81–84.

    Google Scholar 

  • Reed S.J.B. 1996. Electron Microprobe Analysis and Scanning Electron Microscopy in Geology. Cambridge University Press, Cambridge, UK, 201 pp.

    Google Scholar 

  • Russ J.C. 1999. The Image Processing Handbook. CRC Press, Boca Raton, Florida, 771 pp.

    Google Scholar 

  • Sahagian D.L. and Proussevitch A.A. 1998. 3D particle size distribution from 2D observations: stereology for natural applications. J. Volcan. Geoth. Res. 84: 173–196.

    Google Scholar 

  • Saarinen T. and Petterson G. 2001. Image analysis techniques. In: Last W. and Smol J. (eds), Tracking Environmental Change Using Lake Sediments: Physical and Geochemical Methods. Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 23–39.

    Google Scholar 

  • Soreghan G.S. 1994. Stratigraphic responses to geologic processes; Late Pennsylvanian eustasy and tectonics in the Pedregosa and Orogrande basins, ancestral Rocky Mountains. Geol. Soc. Am. Bull. 106: 1195–1211.

    Article  Google Scholar 

  • Soreghan G.S., Elmore R.D., Katz B., Cogoini M. and Banerjee S. 1997. Pedogenically enhanced magnetic susceptibility variations preserved in Paleozoic loessite. Geology 25: 1003–1006.

    Article  Google Scholar 

  • Soreghan G.S., Elmore R.D. and Lewchuk M.T. 2002. Sedimentologic-magnetic record of western Pangean climate in upper Paleozoic loessite (lower Cutler beds, Utah). Geol. Soc. Am. Bull. 114: 1019–1035.

    Google Scholar 

  • Soreghan M.J., Soreghan G.S. and Hamilton M.A. 2002. Paleowinds inferred from detrital zircon geochronology of upper Paleozoic loessite, western equatorial Pangea. Geology 30: 695–698.

    Article  Google Scholar 

  • Starkey J. and Samantaray A.K. 1991. An evaluation of noise reduction filters, with particular reference to petrographic images. J. Comp.-Assist. Microsc. 3: 171–188.

    Google Scholar 

  • Starkey J. and Samantaray A.K. 1994. A microcomputer-based system for quantitative petrographic analysis. Comp. Geosci. 20: 1285–1296.

    Google Scholar 

  • Tramp K.L. 2000. Integrated sedimentologic, geochemical, and rock magnetic data as a high resolution record of pedogenesis in the Pennsylvanian Maroon Formation loessite (Colorado). M.S. thesis, University of Oklahoma, 212 pp.

    Google Scholar 

  • Van den Berg E.H., Meesters A.G.C.A., Kenter J.A.M. and Schlager W. 2002. Automated separation of touching grains in digital images of thin sections. Comp. Geosci. 28: 179–190.

    Google Scholar 

  • Veevers J.J. and Powell C. McA. 1987. Late Paleozoic glacial episodes in Gondwanaland reflected in transgressive-regressive depositional sequences in Euramerica. Geol. Soc. Am. Bull. 98: 475–487.

    Article  Google Scholar 

  • von Merkt J. 1971. Zurverlässige Auszählungen von Jahresschichten in Seesedimenten mit Hilfe von Grob-Dünnschliffen. Arch. Hydrobiol. 69: 145–154.

    Google Scholar 

  • Xiao J., Porter S.C., An Z., Kumai H. and Yoshikawa S. 1995. Grain size of quartz as an indicator of winter monsoon strength on the Loess Plateau of Central China during the last 130,000 yr. Quat. Res. 43: 22–29.

    Article  Google Scholar 

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Pierre Francus

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Soreghan, M.J., Francus, P. (2005). Processing Backscattered Electron Digital Images of Thin Section. In: Francus, P. (eds) Image Analysis, Sediments and Paleoenvironments. Developments in Paleoenvironmental Research, vol 7. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2122-4_11

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  • DOI: https://doi.org/10.1007/1-4020-2122-4_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-2061-2

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