The database of the diatom valve outlines

A.M. Lyakh1, S.G. Lelekov2

1A.O. Kovalevsky Institute of Biology of the Southern Seas of RAS, RF, Sevastopol, Nakhimov Av., 2

Email: me@antonlyakh.ru

2Sevastopol State University, RF, Sevastopol, Universitetskaya St., 33

Email: p1859@yandex.ru

DOI: 10.33075/2220-5861-2022-3-97-105

UDC 574.5+561.26:477.75(556.5)+004.65                                                   

Abstract:

   Diatoms are widespread microscopic aquatic autotrophs covered by a siliceous frustule. Diatom valves are large, clearly visible elements of the frustule. The outlines of the valves are used in many tasks: species identification, construction of geometric models of diatom frustules, assessment of the condition of water bodies, and as templates for systematization of microalgae images. To solve these tasks the samples of characteristic shapes of valves are needed. The paper presents the structure of a database for storing the outlines of diatom valves, considers ways of mathematical description of valve outlines and provides scenarios for interaction with the database.

   To mathematically describe the outline of the valves, we use cubic Bezier curves, smoothly fit together. We construct the outline from the photographs of diatom valves. We do not take into account pseudosymmetric deviations and construct perfect symmetric contours. We also calculate numerical shape descriptors, namely coefficients of elliptic Fourier transform, that are invariant to the size, position, and rotation of the original contour. The results are saved in the database.

   The database consists of tables for contours, contour names, contour descriptors, and notes about descriptors. The database interacts with external database of Arxip – the library of published microalgae images (3d-microalgae.org/arxip).

   The database access interface allows retrieving information on the shape by its unique identifier or name if the shape has a name. The information includes the descriptions of the curve bounding the valve and additional data.

   The database is available at 3d-microalgae.org/diatoms/valve-shapes

Keywords: shape analysis, morphological variability, teratological shapes, silhouettes database, classification, visual index, diatoms.

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REFERENCES

  1. Tray E., Leadbetter A., Meaney W., Conway A., Kelly C., Maoileidigh N.O., de Eyto E., Moran S., and Brophy D. An open-source database model and collections management system for fish scale and otolith archives. Ecological Informatics, 2020, Vol. 59, 101115.
  2. Ledford H. Massive database of 182,000 leaves is helping predict plants’ family trees. Nature, 2017, Vol. 547, pp. 147.
  3. Lelekov S.G. and Lyakh A.M. Metod vybora posledovatelnosti priznakov v taksonomicheskikh ekspertnykh sistemakh (The method for selecting a sequence of characters in taxonomic expert systems). Ekologicheskaya, promyshlennaya i energeticheskaya bezopasnost – 2017. Сollection of articles based on the materials of the scientific-practical conference with international participation. Sevastopol: SevGU, 2017, pp. 759–763.
  4. Bryantseva Yu.V., Lyakh A.M., and Sergeeva A.V. Raschet obyemov i ploschadey poverkhnosti odnokletochnykh vodorosley Chernogo morya (Calculation of biovolumes and surface areas of Black Sea microalgae). Sevastopol: NAS of Ukraine. Institute of Biology of the Southern Seas, 2005, 25 p.
  5. Lyakh A.M. Kompyuternaya programma 3D-Microalgae dlya vychisleniya obyema i ploschadi poverkhnosti obolochki mikrovodorosley (3D-Microalgae software used for the estimation of microalgae biovolumes and surface areas). Sovremennaya Fitomorfologiya, 2012, Vol. 1, pp. 89–91.
  6. Sacca A. Methods for the estimation of the biovolume of microorganisms: a critical review. Limnology and Oceanography: Methods, 2017, Vol. 15, pp. 337–348.
  7. Bukhtiyarova L.N. Bacillariophyta v monitoringe rechnykh ekosistem. Sovremennoe sostoyanie i perspektivy ispolzovaniya (Bacillariophyta in biomonitoring of river ecosystems. Modern situation and perspectives of application). Algologiya, 1999, Vol. 9, No. 3, pp. 89–103.
  8. Wu N., Dong X., Liu Y., Wang C., Battrup-Pedersen A., and Riis T. Using river microalgae as indicators for freshwater biomonitoring: review of published research and future directions. Ecological Indicators, 2017, Vol. 81, pp. 124–131.
  9. Falasco E., Ector L., Wetzel C.E., Badino G., and Bona F. Looking back, looking forward: a review of the new literature on diatom teratological forms (2010–2020). Hydrobiologia, 2021, Vol. 848, No. 8, pp. 1675–1753.
  10. Lyakh A.M. Baza dannykh biblioteki tsifrovykh izobrazheny zhivykh organizmov (Living organisms digital image library database). Electronic Information Systems, 2021, No. 3 (30), pp. 33–42.
  11. Gilyarova K.A. Yazykovaya kontseptualizatsiya formy fizicheskikh obyektov: Avtoref. diss. kand. filol. nauk (Linguistic conceptualization of the form of physical objects. Cand. phylol. sci. thesis abstract). Moscow: MGU, 2002, 26 p.
  12. Gololobova M.A., Gogorev R.M., Lyakh A.M., and Dorofeyuk N.I. Osnovnye formy stvorok diatomovykh vodorosley: terminologiya. I. Formy stvorok, simmetrichnye otnositelno apikalnoy osi, i formy s radialnoy simmetriey (The main valve shapes of diatoms: terminology. I. Valve shapes symmetrical to the apical axis and valve shapes with radial symmetry). Novosti sistematiki nizshikh rasteny,2022, Vol. 56, No. 1, pp. 29–54.
  13. Flusser J., Suk T., and Zitova B. Moments and moment invariants in pattern recognition. Willey, 2009, 296 p.
  14. Waldchen J. and Mader P. Plant species identification using computer vision techniques: a systematic literature review. Archives of Computational Methods in Engineering, 2017, Vol. 25, pp. 507–543.
  15. Haines J. and Crampton J.S. Improvements to the method of Fourier shape analysis as applied in morphometric studies. Palaeontology, 2000, Vol. 43, No. 4, pp. 765–783.
  16. Lyakh A.M. Analiz biologicheskikh form na osnove soglasovannykh koeffitsientov ellipticheskogo preobrazovaniya Furye (Analysis of biological shapes on the basis of coordinated coefficients of elliptic Fourier transformation). Nauka Yuga Rossii, 2019, Vol. 15, No. 4, pp. 63–70.
  17. Nizhegorodtsev A.A. Psevdosimmetriya rastitelnykh obyektov kak bioindikatsionny pokazatel: teoreticheskoe obosnovanie, avtomatizatsiya otsenok, aprobatsiya: Avtoref. diss. kand. biol. nauk (Pseudosymmetry of plant objects as a bioindicator: theoretical justification, automation of estimations, validation. Cand. boil. sci. thesis abstract). Nizhny Novgorod, 2010, 24 p.
  18. Gelashvili D.B., Chupruno E.V., Marychev М.О., Somov N.V., Shirokov A.I., and Nizhegorodtsev А.А. Prilozhenie teorii grupp k opisaniyu psevdosimmetrii biologicheskikh obyektov (Application of the group theory to description of biological objects pseudosymmetry). Zhurnal Obshey Biologiyi, 2010, Vol. 71, No. 6, pp. 497–513.
  19. Lyakh A.M. Arkhiv opublikovannykh fotografy diatomovykh mikrovodorosley (An archive of the published photographs of diatoms). Voprosy sovremennoy algologii, 2022, No. 1 (28), pp. 86–93.
  20. https://rsdn.org/article/multimedia/bezier.xml (September 1st, 2022).

 

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