Improving preservation state assessment of carbonate microfossils in paleontological research using label-free stimulated Raman imaging

Golreihan, Asefeh; Steuwe, Christian; Woelders, Lineke; Deprez, Arne; Fujita, Yoshihiro; Vellekoop, Johan; Swennen, Rudy; Roeffaers, Maarten B. J.

doi:10.1371/journal.pone.0199695

Cited by 6 publications

(1 citation statement)

References 28 publications

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“…They used the Euler number to study rock pores, demonstrating that the Euler number can be used for carbonate rock pore research. Golreihan et al [ 29 ] conducted improving preservation state assessment of carbonate microfossils in palaeontological research using label-free stimulated Raman imaging. They used image processing technology to study the pores in rocks, showing that there is a precedent for using finite automata to study the pores in rocks.…”

Section: Introductionmentioning

confidence: 99%

Porosity of the porous carbonate rocks in the Jingfengqiao–Baidiao area based on finite automata

2022

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This study is based on the processing of computed microtomography images of rock samples. In this study, a finite automation is constructed using the grey value, red-green-blue (RGB) value and Euler number of polarized images of carbonate rocks from the Jingfengqiao–Baidiao area. The finite automaton is used to perform black and white binary processing of the polarized images of the carbonate rocks. The porosity of the carbonate rock is calculated based on the black and white binarization processing results of the polarized images of the carbonate rocks. The obtained porosity is compared with the carbonate porosity obtained by use of the traditional carbonate research method. When the two porosities are close, the image processing threshold of the finite automata is considered to be credible. Based on the finite automata established using the image processing threshold, the black and white binary images of the polarized images of the carbonate rocks are used to establish a rock pore image using I mage J2X. The polarized images of the carbonate rocks are classified according to their RGB values using the finite automata for the porosity classification, and the obtained images are used as textures to paste onto a cube to construct a three-dimensional data model of the carbonate rocks. This study also uses 16S rDNA analysis to verify the formation mechanism of the carbonate pores in the Jingfengqiao–Baidiao area. The results of the 16S rDNA analysis show that the pores in the carbonate rocks in the Jingfengqiao–Baidiao area are closely related to microorganisms, represented by denitrifying bacteria.

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Section: Introductionmentioning

confidence: 99%

Porosity of the porous carbonate rocks in the Jingfengqiao–Baidiao area based on finite automata

2022

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Types of Raman Scattering Techniques for Neurodegenerative Diseases

Kumari

Shivakumar

Mehak

et al. 2022

Advances in Brain Imaging Techniques

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Evaluation of Degree of Alteration in Fossil Ostracods from Middle Callovian-Lower Oxfordian Beds of Southern Part of Kachchh Basin, Gujarat, India by Characterizing Surface Roughness of the Shell

Muduli,

Kumari,

Mahalakshmi

2023

Journal of the Geological Society of India

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Before proceeding with any type of analysis, the condition of preservation of microfossil shells must be determined. Preservation of the shell affects tasks, such as holotype specimen selection, distribution chart, and specimen selection for geochemical analysis. The typical way to determine the degree of alteration is to use a visual examination under the stereo microscope. The deviation of visual characteristics such as colour and smoothness of the shell surface from unaltered shells depicts the alteration status. However, our eyes are frequently misled by the roughness of the shell created by tiny crystals that form due to recrystallization during the diagenesis process and are perceived to be smooth. In turn, the shell is regarded as well-preserved. To address these limitations, we have analyzed scanning electron microscope (SEM) images of ostracod shells using ImageJ, an image processing software, to determine the roughness parameters based on the grey value of the image. In addition, we compared the values of several parameters with different types of alterations, such as recrystallization and dissolution. This study aims to characterize the surface roughness of eight selected ostracod specimens from Middle Callovian to Upper Oxfordian beds of the southern part of Mainland Kachchh. The selected eight species - Cytherella masuguluensis, Progonocythere sp. A, Progonocythere jaisalmerensis, Bythocypris rajasthanensis, Paracypris contermia, Galliaecytheridea remota, Cytherelloidea sp. A, Cytherelloidea sp. B - belong to six genera and five families.

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Improving preservation state assessment of carbonate microfossils in paleontological research using label-free stimulated Raman imaging

Cited by 6 publications

References 28 publications

Porosity of the porous carbonate rocks in the Jingfengqiao–Baidiao area based on finite automata

Porosity of the porous carbonate rocks in the Jingfengqiao–Baidiao area based on finite automata

Types of Raman Scattering Techniques for Neurodegenerative Diseases

Evaluation of Degree of Alteration in Fossil Ostracods from Middle Callovian-Lower Oxfordian Beds of Southern Part of Kachchh Basin, Gujarat, India by Characterizing Surface Roughness of the Shell

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