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List of publications

  1. 0

    Haag V, Dremel K, Helmling S, Lewandrowski TL, Olbrich A, Stebani J, Zemke VT, Zabler S, Koch G (2025) A new age of anatomical plant identification [poster presented at The European Academy of Forensic Science Conference : Reflections on Forensic Science: Looking back to look forward ; 26th-30th May 2025, Dublin, Ireland] [online]. , zu finden in <https://www.researchgate.net/publication/393461758_A_New_Age_of_Anatomical_Plant_Identification> [zitiert am 24.07.2025]

  2. 1

    Nopens M, Greving I, Flenner S, Hesse L, Lüdtke J, Altgen M, Koch G, Beruda J, Heldner S, Köhm H, Kaschuro S, Olbrich A, Mietner JB, Scheckenbach F, Sieburg-Rockel IJ, Krause A (2025) Design and implementation of a climate chamber for moisture sensitive nanotomography of biological samples. J Synchrotron Rad 32(5), DOI:10.1107/S1600577525006484

    https://literatur.thuenen.de/digbib_extern/dn069995.pdf

  3. 2

    Helmling S, Stephani H, Sieburg-Rockel IJ, Nieradzik L, Wrage S, Weibel T, Gospodnetic P, Rauhut M, Olbrich A (2025) Entwicklung von automatisierten (digitalen) Bilderkennungssystemen zur Holzartenbestimmung mittels künstlicher Intelligenz : Schlussbericht zum Vorhaben . Gülzow: Fachagentur Nachwachsende Rohstoffe, 28 p

  4. 3

    Dalloul F, Mietner JB, Raveendran D, Chen S, Barba E, Möck DMJ, Hubel F, Sochor B, Vayalil SK, Hesse L, Olbrich A, Appelt J, Müller-Buschbaum P, Roth SV, Navarro JRG (2025) From unprintable peptidic gel to unstoppable : transforming diphenylalanine peptide (Fmoc-FF) nanowires and cellulose nanofibrils into a high-performance biobased gel for 3D printing. ACS Appl Bio Mater 8(3):2323-2339, DOI:10.1021/acsabm.4c01803

    https://literatur.thuenen.de/digbib_extern/dn069611.pdf

  5. 4

    Sieburg-Rockel IJ, Helmling S, Wrage S, Olbrich A, Nieradzik L, Stephani H, Weibel T, Gospodnetic P, Rauhut M (2025) How can a machine-learning system be trained to distinguish between softwoods even though the characteristics are particularly similar? In: Albrecht S, Sczecina J, Cisewski B, Rzenno L (eds) KIDA-KON : AI for research in food, agriculture and environment ; Conference 17 - 18th September 2025, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries, Braunschweig; Reader. p 51, DOI:10.48480/kida-2025

  6. 5

    Olbrich A, Helmling S, Sieburg-Rockel IJ, Wrage S, Nieradzik L, Stephani H, Weibel T, Gospodnetic P, Rauhut M (2025) KI vs. Mensch - Zeigt der Blindtest, was wir bei der Holzartenbestimmung optimieren können? In: Schmidt K, Selig M, Schütz AK, Albrecht S, Sczecina J, Cisewski B, Rzenno L (eds) KIDA-KON : AI for research in food, agriculture and environment ; Konferenz 2.-3. December 2024, Leipzig [Tagungsband]. pp 58-59, DOI:10.48480/kida-ai24

  7. 6

    Koch G, Olbrich A, Heinz I, Haag V, Helmling S, Sieburg-Rockel IJ, Lewandrowski TL (2024) Anforderungen an die Holzartenbestimmung in der Praxis - Aktuelle Berichte und Erfahrungen aus dem Thünen-Kompetenzzentrum Holzherkünfte. In: 6. Holzanatomisches Kolloquium : 7. - 8. November 2024 in Dresden. Dresden: IHD, pp 82-89

  8. 7

    Helmling S, Nieradzik L, Sieburg-Rockel IJ, Weibel T, Wrage S, Gospodnetic P, Keuper J, Stephani H, Rauhut M, Olbrich A (2024) Automated wood species identification in microscopic images of fibrous materials using machine learning / AI. In: Forests & society towards 2050 : 26th IUFRO World Congress, Stockholm, Sweden, 23-29 June 2024 ; Book of abstracts. p 3523

  9. 8

    Nieradzik L, Sieburg-Rockel IJ, Helmling S, Keuper J, Weibel T, Olbrich A, Stephani H (2024) Automating wood species detection and classification in microscopic images of fibrous materials with deep learning. Microsc Microanal 30(3):508-520, DOI:10.1093/mam/ozae038

  10. 9

    Nieradzik L, Stephani H, Sieburg-Rockel IJ, Helmling S, Olbrich A, Keuper J (2024) Challenging the black box: A comprehensive evaluation of attribution maps of CNN applications in agriculture and forestry. In: Radeva P, Furnari A, Bouatouch K, Sousa AA (eds) Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024). Vol. 2. pp 483-492, DOI:10.5220/0012363400003660

  11. 10

    Flaig ML, Berger J, Helmling S, Olbrich A, Schaffrath HJ, Zahn D, Saake B (2024) Chemotaxonomic and anatomic wood species identification in bleached pulp: blind test and method validation. Holzforsch 78(9):487-502, DOI:10.1515/hf-2024-0025

    https://literatur.thuenen.de/digbib_extern/dn068575.pdf

  12. 11

    Haag V, Dremel K, Helmling S, Lewandrowski TL, Olbrich A, Zemke VT, Stebani J, Zabler S, Koch G (2024) Forensic plant identification in the digital age. In: 2nd International Seminar on Anatomical Plant Identification, Hamburg (ISAPI, Hamburg 2024) : Proceedings and Program.

  13. 12

    Haag V, Lewandrowski TL, Dremel K, Zabler S, Helmling S, Zemke VT, Olbrich A (2024) Identification of timbers in charcoal and substitutes based on NTFPs and residues. In: CA22155 PoTaRCh 1st General Meeting of Action : Prague, Czech Republic, March 5-7, 2024 ; Programme and abstracts. p 7

  14. 13

    Nieradzik L, Stephani H, Sieburg-Rockel IJ, Helmling S, Olbrich A, Wrage S, Keuper J (2024) WoodYOLO: A novel object detector for wood species detection in microscopic images. Forests 15(11):1910, DOI:10.3390/f15111910

    https://literatur.thuenen.de/digbib_extern/dn069063.pdf

  15. 14

    Helmling S, Sieburg-Rockel IJ, Wrage S, Olbrich A, Nieradzik L, Stephani H, Weibel T, Gospodnetic P, Rauhut M (2023) Automatisierte Holzartenidentifizierung in mikroskopischen Bildern von Fasermaterialien mit Hilfe von maschinellem Lernen / KI. In: KIDA-Fachtagung, 27. - 28. September 2023, Quedlinburg : Abstractbuch. Braunschweig: Geschäftsstelle Think Tank Digitalisierung, Johann Heinrich von Thünen-Institut, pp 21-22

  16. 15

    Altgen M, Awais M, Altgen D, Klüppel A, Koch G, Mäkelä M, Olbrich A, Rautkari L (2023) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials Design 225(Jan. 2023):111481, DOI:10.1016/j.matdes.2022.111481

    https://literatur.thuenen.de/digbib_extern/dn065756.pdf

  17. 16

    Haag V, Dremel K, Helmling S, Lewandrowski TL, Olbrich A, Zemke VT, Zabler S (2023) Forensic wood identification in the digital age [oral presentation]. In: ENFSI - APST 2023, Zurich, Switzerland, 19.-21. April 2023.

  18. 17

    Flaig ML, Berger J, Wenig P, Olbrich A, Saake B (2023) Identification of tropical wood species in paper: a new chemotaxonomic method based on extractives. Holzforsch 77(11-12):860-878, DOI:10.1515/hf-2023-0048

    https://literatur.thuenen.de/digbib_extern/dn067280.pdf

  19. 18

    Patt A, Halle I, Dudde A, Olbrich A, Sieburg-Rockel IJ, Krause ET (2022) Influence of different dietary fibre contents in the diet on feather pecking, locomotor activity and performance of laying hens. Brit Poultry Sci 63(5):571-580, DOI:10.1080/00071668.2022.2076212

  20. 19

    Haag V, Zemke VT, Zabler S, Helmling S, Lewandrowski TL, Olbrich A, Zahnen J, Hirschberger P (2021) Anatomical identification of charcoal and briquettes - developments in the international charcoal trade and the increasing use of substitutes from NTFPs. In: The 8th IAWA-China Group Annual Meeting and 2021 International Youth Forum for Wood Anatomy : Promote Ecological Wood Anatomy for Sustainable Wood Utilization ; November 12-14, 2021, Chengdu, China. Beijing, p 14

  21. 20

    Haag V, Zemke VT, Zabler S, Helmling S, Olbrich A, Zahnen J, Hirschberger P (2021) Anatomische Identifizierung von Holzkohle und Briketts - Entwicklungen des Internationalen Holzkohlehandels und die zunehmende Nutzung von Substituten aus NTFPs. In: Tagungsband des 5. Holzanatomischen Kolloquiums in Dresden. pp 28-33

  22. 21

    Welling J, Cibis J, Haag V, Olbrich A, Koch G, Richter H-G, Helmling S, Fey AJ-W, Lüdtke J (2021) Developing competences for the Peruvian forestry and woodworking sector : contribution to the environmental objectives of Peru - ProAmbiente II. Hamburg: Thünen Institute of Wood Research, 2 p, Project Brief Thünen Inst 2020/23a, DOI:10.3220/PB1607003887000

    https://literatur.thuenen.de/digbib_extern/dn063037.pdf

  23. 22

    Koch G, Olbrich A, Koch S (2021) Digital identifiziert : Digitales Bilderkennungssystem zur mikroskopischen Bestimmung von Mahagoni-Hölzern. Furnier-Mag 2021(Dez.):50-53

  24. 23

    Welling J, Cibis J, Haag V, Olbrich A, Koch G, Richter H-G, Helmling S, Fey AJ-W, Lüdtke J (2021) Kompetenzentwicklung im peruanischen Forst- und Holzwirtschaftssektor : Beitrag zu den Umweltzielen Perus - ProAmbiente II. Hamburg: Thünen-Institut für Holzforschung, 2 p, Project Brief Thünen Inst 2020/23, DOI:10.3220/PB1607003313000

    https://literatur.thuenen.de/digbib_extern/dn063036.pdf

  25. 24

    Isermeyer F, Nieberg H, Banse M, Bolte A, Christoph-Schulz IB, Dauber J, Witte T de, Dehler M, Döring R, Elsasser P, Fock HO, Focken U, Freund F, Goti L, Heidecke C, Kempf A, Koch G, Kraus G, Krause A, Kroiher F, Lasner T, Lüdtke J, Olbrich A, Osterburg B, Pelikan J, Probst WN, Rahmann G, Reiser S, Rock J, Röder N, Rüter S, Sanders J, Stelzenmüller V, Zimmermann C (2020) Auswirkungen aktueller Politikstrategien (Green Deal, Farm-to-Fork, Biodiversitätsstrategie 2030; Aktionsprogramm Insektenschutz) auf Land- und Forstwirtschaft sowie Fischerei. Braunschweig: Johann Heinrich von Thünen-Institut, 102 p, Thünen Working Paper 156, DOI:10.3220/WP1600775202000

    https://literatur.thuenen.de/digbib_extern/dn062661.pdf

  26. 25

    Seo J-W, Eckstein D, Buras A, Fromm J, Wilmking M, Olbrich A (2020) Changes in wood anatomical traits in Scots pine under different climate-change scenarios. IAWA J 41(2):202-218, DOI:10.1163/22941932-00002111

  27. 26

    Schmitz N, Beeckman H, Blanc-Jolivet C, Boeschoten L, Braga JWB, Cabezas JA, Chaix G, Crameri S, Degen B, Deklerck V, Dormontt EE, Espinoza E, Gasson P, Haag V, Helmling S, Horacek M, Koch G, Lancaster C, Olbrich A, Zemke VT, et al (2020) Overview of current practices in data analysis for wood identification : A guide for the different timber tracking methods. GTTN secretariat, European Forest Institute and Thünen Institute, 141 p, DOI:10.13140/RG.2.2.21518.79689

  28. 27

    Olbrich A, Helmling S, Heinz I, Sieburg-Rockel IJ, Koch G (2019) Identification of Asian timbers in pulp, paper and fiber boards. In: XXV IUFRO World Congress 2019, 29. September - 5. Oktober. p 113

  29. 28

    Sieburg-Rockel IJ, Koch G, Kaschuro S, Helmling S, Olbrich A (2019) Identifizierung von Holzarten in Spanplatten. Holztechnol 60(3):5-9

  30. 29

    Heinz I, Helmling S, Olbrich A, Koch G (2019) O-5: Identification of Asian timbers in pulp, paper and fiber boards. In: IAWA-IUFRO International Symposium : challenges and opportunities for updating wood identification ; May 20-22, 2019, China, program & abstracts. pp 5-6

  31. 30

    Helmling S, Olbrich A, Heinz I, Koch G (2018) Atlas of vessel elements : identification of Asian timbers. IAWA J 39(3):249-352, DOI:10.1163/22941932-20180202

  32. 31

    Koch G, Haag V, Helmling S, Heinz I, Olbrich A (2017) Fasern im Fokus : Holzartenbestimmung von Faserplatten - Erfahrungen aus den Prüfungen im Kontext der EUTR. MDF Mag Co:86-88

  33. 32

    Belle J, Kleemann S, Odermatt J, Olbrich A (2016) A new method showing the impact of pulp refining on fiber-fiber interactions in wet webs. Nordic Pulp Paper Res J 31(2):205-212

  34. 33

    Helmling S, Olbrich A, Tepe L, Koch G (2016) Qualitative and quantitative characteristics of macerated vessels of 23 mixed tropical hardwood (MTH) species: a data collection for the identification of wood species in pulp and paper. Holzforsch 70(9):839-844, DOI:10.1515/hf-2015-0195

  35. 34

    Jaborsky M, Maierhofer T, Olbrich A, Escalante-Pèrez M, Müller HM, Simon J, Krol E, Cuin TA, Fromm J, Ache P, Geiger D, Hedrich R (2016) SLAH3-type anion channel expressed in poplar secretory epithelia operates in calcium kinase CPK-autonomous manner. New Phytol 210(3):922-933, DOI:10.1111/nph.13841

  36. 35

    Belle J, Kleemann S, Odermatt J, Olbrich A (2015) Demonstration of strength development in initial wet paper web using field emission-scanning electron microscopy (FE-SEM). BioResources 10(3):4204-4225, DOI:10.15376/biores.10.3.4204-4225

  37. 36

    Seo J-W, Eckstein D, Olbrich A, Jalkanen R, Salminen H, Schmitt U, Fromm J (2013) Climate control of wood formation : illustrated for Scots Pine at its northern distribution limit. Plant Cell Monogr 20:159-185

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