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https://doi.org/10.21256/zhaw-19479| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Using colour images for online yeast growth estimation |
| Authors: | August, Elias Sabani, Besmira Memeti, Nurdzane |
| et. al: | No |
| DOI: | 10.3390/s19040894 10.21256/zhaw-19479 |
| Published in: | Sensors |
| Volume(Issue): | 19 |
| Issue: | 4 |
| Page(s): | 894 |
| Issue Date: | 2019 |
| Publisher / Ed. Institution: | MDPI |
| ISSN: | 1424-8220 |
| Language: | English |
| Subjects: | Automatisation; Computer vision; Non-invasive online measurement; Optical density measurement; Pattern recognition; Software sensor; Algorithms; Cluster analysis; Saccharomyces cerevisiae; Biomass; Bioreactor |
| Subject (DDC): | 660: Chemical engineering |
| Abstract: | Automatisation and digitalisation of laboratory processes require adequate online measurement techniques. In this paper, we present affordable and simple means for non-invasive measurement of biomass concentrations during cultivation in shake flasks. Specifically, we investigate the following research questions. Can images of shake flasks and their content acquired with smartphone cameras be used to estimate biomass concentrations? Can machine vision be used to robustly determine the region of interest in the images such that the process can be automated? To answer these questions, 18 experiments were performed and more than 340 measurements taken. The relevant region in the images was selected automatically using K-means clustering. Statistical analysis shows high fidelity of the resulting model predictions of optical density values that were based on the information embedded in colour changes of the automatically selected region in the images. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19479 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Chemistry and Biotechnology (ICBT) |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2019_August_Using-color-images.pdf | 6.7 MB | Adobe PDF |  View/Open |
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August, E., Sabani, B., & Memeti, N. (2019). Using colour images for online yeast growth estimation. Sensors, 19(4), 894. https://doi.org/10.3390/s19040894
August, E., Sabani, B. and Memeti, N. (2019) ‘Using colour images for online yeast growth estimation’, Sensors, 19(4), p. 894. Available at: https://doi.org/10.3390/s19040894.
E. August, B. Sabani, and N. Memeti, “Using colour images for online yeast growth estimation,” Sensors, vol. 19, no. 4, p. 894, 2019, doi: 10.3390/s19040894.
AUGUST, Elias, Besmira SABANI und Nurdzane MEMETI, 2019. Using colour images for online yeast growth estimation. Sensors. 2019. Bd. 19, Nr. 4, S. 894. DOI 10.3390/s19040894
August, Elias, Besmira Sabani, and Nurdzane Memeti. 2019. “Using Colour Images for Online Yeast Growth Estimation.” Sensors 19 (4): 894. https://doi.org/10.3390/s19040894.
August, Elias, et al. “Using Colour Images for Online Yeast Growth Estimation.” Sensors, vol. 19, no. 4, 2019, p. 894, https://doi.org/10.3390/s19040894.
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