Journals / Maden Tetkik ve Arama Dergisi / 2026 / Cilt: 179 Sayı: 179

Geological thin sections and mineral analysis using light microscopy: a comprehensive study

Gökhan Külekçi(Gümüşhane University, Faculty of Engineering and Natural Sciences, Mining Engineering Department, 29000, Gümüşhane, Türkiye)0000-0002-2971-4045
Pages
146–161
Publication Date
2026-04-27
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings contribute to improving mineral identification techniques, ensuring greater accuracy in geological research and applications.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study provides valuable insights into mineralogy and geology by detailing the preparation of geological thin sections and the use of light microscopy for mineral analysis.
📊
Key Findings & Data:A total of 120 thin sections were prepared from rock samples collected from different regions, following a structured methodology.
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Conclusion & Impact:The findings contribute to improving mineral identification techniques, ensuring greater accuracy in geological research and applications.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Geological Thin Section · Polarizing Microscope · Light Microscopy

Abstract

This study provides valuable insights into mineralogy and geology by detailing the preparation of geological thin sections and the use of light microscopy for mineral analysis. A total of 120 thin sections were prepared from rock samples collected from different regions, following a structured methodology. The analysis focuses on identifying optical properties that is essential for mineral identification, particularly for quartz, whose distinct color and shape characteristics emerge under polarized light. Recognizing these features can be challenging for experts, making the use of computer-assisted analysis as effective alternative. This study highlights the advantages of Leica polarizing microscopes, which enhance accuracy and efficiency compared to traditional methods. The paper also examines key factors that influence the reliability of mineral identification, addressing the time-consuming nature of conventional approaches. By incorporating digital techniques, researchers can obtain faster, more precise, and reproducible results. Ultimately, this study serves as a comprehensive guide for academics and professionals, offering an in-depth comparison of traditional and modern methodologies in geological thin section preparation and mineralogical studies. The findings contribute to improving mineral identification techniques, ensuring greater accuracy in geological research and applications.

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Cite This Article

Külekçi, G. (2026). Geological thin sections and mineral analysis using light microscopy: a comprehensive study. Maden Tetkik ve Arama Dergisi, Cilt: 179 Sayı: 179, 146–161. https://doi.org/10.19111/bulletinofmre.1702915

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References (26)

  1. Çiftçi, E. 2008. Natrolitite, an unusual rock - occurrence and petrographic and geochemical characteristics (eastern Turkey). Clays and Clay Minerals 56 (2), 207-221.
  2. Çiftçi, E. 2011. Sphalerite associated with pyrrhotite-chalcopyrite ore in the Kotana Fe-skarn deposit (Giresun, NE Turkey): Exsolution or replacement, Turkish Journal of Earth Sciences 20 (3), 269-284.
  3. Çiftçi, E., Erdağ, İ. 2015. Micronized Calcite Potential, Production, and Principal Characteristics of Nigde (Turkey). 11th International Congress for Applied Mineralogy (ICAM), Springer.
  4. Çiftçi, E., Hogan, J.P. 2008. Natrolitite, an unusual rock - occurrence and petrographic and geochemical characteristics (eastern Turkey). Clays and Clay Minerals 56(2), 207-221.
  5. Çiftçi, E., Çiflikli, M., Bayhan, H. 2013. Alteration of glassy volcanic rocks to Na- and Ca-smectites in the Neogene basin of Manisa, western Anatolia, Turkey. Clay Minerals 48(2), 183-200.
  6. Furukawa, Y., Yamamoto, H., Sugiyama, K. 2015. Automated mineral classification based on optical microscope images and machine learning. Journal of Microscopy 259 (1), 23-31.
  7. Goldstein, J., Newbury, D. E., Michael, J. R., Ritchie, N. W., Scott, J. H., Joy, D. C. 2017. Scanning Electron Microscopy and X-ray Microanalysis. Springer, 24 (6), 1.
  8. Hillier, S. 2003. Quantitative analysis of clay and other minerals in sandstones by X-ray powder diffraction (XRPD). International Association of Sedimentologists 21, 213-251.
  9. Külekçi, G. 2021. The effect of pozzolans and mineral wastes on alkali-silica reaction in recycled aggregated mortar. Periodica Polytechnica Civil Engineering 65 (3), 741-750.
  10. Külekçi, G. 2022a. Investigation of gamma ray absorption levels of composites produced from copper mine tailings, fly ash, and brick dust. Journal of Material Cycles and Waste Management 24 (5), 1934-1947.
  11. Külekçi, G. 2022b. Investigation of Trabzon volcanilities usable as external covering. MSU Journal of Science 5(2), 459-464.
  12. Külekçi, G., Yılmaz, A. O. 2018. A case study on the effects of stone quarries on environment and agricultural land. Bahçe 47, 230-237.
  13. Külekçi, G., Vural, A., Aliyazıcıoğlu, Ş. 2017. Assessment of excavability classification in a limestone quarry: A case study from Bayburt, Turkey. Iranian Journal of Earth Sciences 14 (4), 241-251.
  14. Külekçi, G., Çullu, M., Yılmaz, A. O. 2023. Mechanical properties of shotcrete produced with recycled aggregates from construction wastes. Journal of Mining Science 59 (3), 380-392.
  15. Külekçi, G., Hacıefendioğlu, K., Başağa, H. B. 2025. Enhancing mineral processing with deep learning: Automated quartz identification using thin section images. International Journal of Minerals, Metallurgy and Materials 32 (4), 802-816.
  16. Nesse, W. D. 2012. Introduction to Optical Mineralogy (4th ed.). Oxford University Press.
  17. Nye, J. F. 2014. Physical Properties of Crystals: Their Representation by Tensors and Matrices. Oxford University Press.
  18. Passchier, C. W., Trouw, R. A. J. 2005. Microtectonics (2nd ed.). Springer Science & Business Media.
  19. Philpotts, A. R., Ague, J. J. 2009. Principles of Igneous and Metamorphic Petrology (2nd ed.). Cambridge University Press.
  20. Reed, S. J. B. 2010. Electron Microprobe Analysis and Scanning Electron Microscopy in Geology (2nd ed.). Cambridge University Press.
  21. Scholle, P. A., Ulmer-Scholle, D. S. 2003. A Color Guide to the Petrography of Carbonate Rocks. AAPG Publishing, 77.
  22. Ural, M. 2023. Major and trace element compositions of clinopyroxene phenocrysts in altered basaltic rocks from Yüksekova Complex within Bitlis Suture Zone (Elazığ, Eastern Türkiye): Implications for the tholeiitic to calc-alkaline magmatism. Minerals 13, 266.
  23. Ural, M., Kurum, S. 2009. Microscopic and diffractometric studies inferred from skarn zonations between the Keban metamorphites and Elazığ magmatites, around Elazığ. Turkish Journal of Science & Technology 4(2), 87-102.
  24. Ural, M., Sarı, B. 2019. New planktonic foraminifera data from the Upper Cretaceous pelagic limestones of the Yuksekova Complex in the Maden Area (SE Elazığ, Eastern Türkiye). World Multidisciplinary Earth Sciences Symposium (WMESS 2019), IOP Conference Series: Earth and Environmental Science 362, 012121.
  25. Ural, M., Sayıt, K., Koralay, O. E., Göncüoğlu, M. C. 2021. Geochemistry and zircon U-Pb dates of felsic-intermediate members of the Late Cretaceous Yüksekova Arc Basin: Constraints on the evolution of the Bitlis-Zagros branch of Neotethys (Elazığ, E Türkiye). Acta Geologica Sinica (English Edition) 95(4), 1199-1216.
  26. Wenk, H.-R., Bulakh, A. 2004. Minerals: Their Constitution and Origin. Cambridge University Press, Geological Magazine 142(3).