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| 001 | 580541 | ||
| 005 | 20230322214110.0 | ||
| 037 | _ | _ | |a PUBDB-2023-01301 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Mueller, Henri |0 P:(DE-H253)PIP1092635 |b 0 |e First author |
| 111 | 2 | _ | |a 16th European Conference on Fungal Genetics |g ECFG16 |c Innsbruck |d 2023-03-05 - 2023-03-08 |w Germany |
| 245 | _ | _ | |a Synchrotron radiation-based X-ray microtomography for three-dimensional growth analysis of Aspergillus niger pellets |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 502 | _ | _ | |c Technische Universität München |
| 520 | _ | _ | |a Filamentous fungi are an indispensable part of industrial biotechnology. Submerged cultivated in bioreactors with several 100 m³ capacity, these cell factories produce relevant biotechnological compounds. The close relationship between fungal morphology and productivity has led to many high-throughput methods to quantify their macromorphology [1]. Nevertheless, only micro-computed tomography (µCT) is the method of choice to study the three-dimensional micromorphology of fungal pellets during submerged cultivation [2]. However, as morphological heterogeneity of pellets makes it necessary to measure hundreds of pellets per sampling time, there is a need for high-throughput µCT approaches.To meet this challenge, we applied synchrotron radiation based X-ray microtomography at the P05 beamline of PETRAIII (Deutsches Elektronen Synchrotron - DESY) and extended our developed method [2], to generate and analyze 3D images of ~20,000 single fungal pellets. We revealed micro-morphological properties such as number and density of spores, tips, branches, and hyphae from 26 sampling points during 48-hour Aspergillus niger cultivations. The computed data allowed us to follow the growth of submerged cultivated fungal pellets in highly resolved 3D for the first time.With our previously developed methods for diffusion computations and growth simulations of filamentous fungal pellets [3][4], the generated morphological database from synchrotron measurements can be used to understand, describe, and model the growth and substrate supply of fungal cultivations.[1] Müller, Barthel, Schmideder et al., Biotechnol. Bioeng., 2022, doi: 10.1002/bit.28124[2] Schmideder, Barthel et al., Biotechnol. Bioeng., 2019, doi: 10.1002/bit.26956[3] Schmideder, Barthel, Müller et al., Biotechnol. Bioeng., 2019, doi: 10.1002/bit.27166[4] Schmideder, Müller, Barthel et al, Biotechnol. Bioeng., 2020, doi: 10.1002/bit.27622. |
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| 700 | 1 | _ | |a Schmideder, Stefan |0 P:(DE-H253)PIP1092641 |b 1 |
| 700 | 1 | _ | |a Barthel, Lars |0 P:(DE-H253)PIP1094057 |b 2 |
| 700 | 1 | _ | |a Deffur, Charlotte |0 P:(DE-H253)PIP1100576 |b 3 |
| 700 | 1 | _ | |a Hammel, Jörg |0 P:(DE-H253)PIP1008646 |b 4 |
| 700 | 1 | _ | |a Meyer, Vera |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Briesen, Heiko |0 P:(DE-H253)PIP1092638 |b 6 |e Corresponding author |
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