Article Detail

Enver Kaan ALPTÜRK*

Keywords

Biological image analysis biology paleontology archaeology

Doi :

Abstract

Biological image analysis has become a vital research tool across fields such as biology, ecology, paleontology, and archaeology, providing critical insights from detailed examinations of biological materials like plants, insects, and archaeological fossils. This article reviews and discusses key bioanalytical methods used in the analysis of biological images, highlighting their diverse applications across different sample types. The study categorizes the main techniques into four groups for non-invasive, detailed 3D analysis of internal structures in insects and fossil bones. Research indicates that commonly employed methods like AI-supported image processing, high-resolution microscopy, chemical mapping via spectroscopy, and non-invasive 3D reconstruction are crucial for extracting detailed anatomical, morphological, and chemical information. The collective application of these advanced techniques significantly contributes to understanding complex biological and paleo-environmental structures.

References

• Kumar, N., Belhumeur, P. N., Biswas, A., Jacobs, D. W., Kress, W. J., Lopez, I. C., & Soares, J. V. B. (2012). Leafsnap: A computer vision system for automatic plant species identification. In Computer Vision–ECCV 2012 (pp. 502-516). Springer Berlin Heidelberg.
• Mayo, M., & Watson, A. T. (2007). Automatic species identification of live moths. Knowledge-Based Systems, 20(2), 195-202.
• MacLeod, N., Benfield, M., & Culverhouse, P. (2010). Time to automate identification. Nature, 467(7312), 154-155.
• Atayolu, Y. (2021). Effects of Data Dimension Reduction on Classification Accuracy with Using Dry Beans Dataset. Journal of Artificial Intelligence with Applications, 2(1), 1-4
• Bidar, A., & Stokkermans, T. J. (2021). Techniques in Plant Microscopy: Plant Morphology, Cytology, and Cell Biology. In Methods in Molecular Biology (Vol. 2357, pp. 1-15). Springer US.
• Beutel, R. G., Friedrich, F., & Leschen, R. A. B. (2009). Insect morphology and phylogeny: A textbook for students of entomology. Walter de Gruyter.
• Sutton, M. D., Garwood, R. J., & Siveter, D. J. (2012). Advances in arthropod palaeontology and evolutionary developmental biology. Arthropod Structure & Development, 41(5), 487-503.
• Liu, C. W., & Murray, B. J. (2016). A review of the use of FTIR spectroscopy to measure biological materials. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 176, 111-122.
• Fernández-López, S., & Pazos, P. J. (2009). Raman spectroscopy for molecular analysis in archaeology: a non-destructive technique to identify the mineralogy of archaeological samples. Journal of Raman Spectroscopy, 40(7), 923-931.
• Faulwetter, S., Dailianis, T., Vasileiadou, A., & Arvanitidis, C. (2013). Micro-computed tomography: introducing new dimensions to taxonomy. ZooKeys, (263), 1.
• Donoghue, P. C. J., & Rucklin, M. (2014). The future of the fossil record. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1646), 20130342.
• Kutlu, Y., Turan, F., Ergenler, A. (2024). An Alternative Automated Image Processing Tool for the Detection and Quantification of DNA Damage Using Comet Assay. Tethys Environmental Science, 1(1), 17-26,