Multispectral imaging flow cytometry for process monitoring in microalgae biotechnology
In the course of efficient development and optimization of biotechnological processes, the need for methods to track morphological and compositional changes of single cells is increasing. So far, the material composition of cells is determined by chemical analysis of a pooled cell sample, which refl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | Micro and Nano Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590007222000223 |
| _version_ | 1811257553358684160 |
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| author | Daniel Kraus Julia Sophie Böke Enrico Ehrhardt Thomas Henkel |
| author_facet | Daniel Kraus Julia Sophie Böke Enrico Ehrhardt Thomas Henkel |
| author_sort | Daniel Kraus |
| collection | DOAJ |
| description | In the course of efficient development and optimization of biotechnological processes, the need for methods to track morphological and compositional changes of single cells is increasing. So far, the material composition of cells is determined by chemical analysis of a pooled cell sample, which reflects the average composition of the taken cell collection. Conventional flow cytometry enables the analysis of individuals from a population. However, it cannot resolve such valuable information like morphological details and distribution of molecular compounds inside the cells. This gap is bridged by a combination of imaging flow cytometry and multispectral imaging. The potential of this Multispectral Imaging Flow Cytometry (MIFC) approach has been investigated and confirmed in the presented parameter study on the bioproduction of Astaxanthin (Ax) by the microalgae Haematococcus pluvialis (HP). As far as multispectral imaging in transmission mode, only three spectral channels (446 nm, 532 nm, 646 nm) were used to measure the amount of substance and the molecular distribution of the core components chlorophyll (Chl) and Ax. Both could be clearly separated from the phase-contrast information generated from the cellular structures and morphology. In general, the results from the MIFC method comply with the conventional measurements but extend them for details on the morphology and on compositional changes within the cultivated cell population during the cultivation process and in response to the applied stimuli. |
| first_indexed | 2024-04-12T17:59:13Z |
| format | Article |
| id | doaj.art-53653177f9644fc1a5e8bb87f3f6b847 |
| institution | Directory Open Access Journal |
| issn | 2590-0072 |
| language | English |
| last_indexed | 2024-04-12T17:59:13Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Micro and Nano Engineering |
| spelling | doaj.art-53653177f9644fc1a5e8bb87f3f6b8472022-12-22T03:22:13ZengElsevierMicro and Nano Engineering2590-00722022-06-0115100125Multispectral imaging flow cytometry for process monitoring in microalgae biotechnologyDaniel Kraus0Julia Sophie Böke1Enrico Ehrhardt2Thomas Henkel3Leibniz Institute of Photonic Technology, Jena, Germany; Corresponding author.Leibniz Institute of Photonic Technology, Jena, GermanyGesellschaft zur Förderung von Medizin-, Bio- und Umwelttechnologien e. V., Halle (Saale), GermanyLeibniz Institute of Photonic Technology, Jena, GermanyIn the course of efficient development and optimization of biotechnological processes, the need for methods to track morphological and compositional changes of single cells is increasing. So far, the material composition of cells is determined by chemical analysis of a pooled cell sample, which reflects the average composition of the taken cell collection. Conventional flow cytometry enables the analysis of individuals from a population. However, it cannot resolve such valuable information like morphological details and distribution of molecular compounds inside the cells. This gap is bridged by a combination of imaging flow cytometry and multispectral imaging. The potential of this Multispectral Imaging Flow Cytometry (MIFC) approach has been investigated and confirmed in the presented parameter study on the bioproduction of Astaxanthin (Ax) by the microalgae Haematococcus pluvialis (HP). As far as multispectral imaging in transmission mode, only three spectral channels (446 nm, 532 nm, 646 nm) were used to measure the amount of substance and the molecular distribution of the core components chlorophyll (Chl) and Ax. Both could be clearly separated from the phase-contrast information generated from the cellular structures and morphology. In general, the results from the MIFC method comply with the conventional measurements but extend them for details on the morphology and on compositional changes within the cultivated cell population during the cultivation process and in response to the applied stimuli.http://www.sciencedirect.com/science/article/pii/S2590007222000223Multispectral imaging flow cytometryMultispectralAlgaeProcess monitoringChemometricsBiotechnology |
| spellingShingle | Daniel Kraus Julia Sophie Böke Enrico Ehrhardt Thomas Henkel Multispectral imaging flow cytometry for process monitoring in microalgae biotechnology Micro and Nano Engineering Multispectral imaging flow cytometry Multispectral Algae Process monitoring Chemometrics Biotechnology |
| title | Multispectral imaging flow cytometry for process monitoring in microalgae biotechnology |
| title_full | Multispectral imaging flow cytometry for process monitoring in microalgae biotechnology |
| title_fullStr | Multispectral imaging flow cytometry for process monitoring in microalgae biotechnology |
| title_full_unstemmed | Multispectral imaging flow cytometry for process monitoring in microalgae biotechnology |
| title_short | Multispectral imaging flow cytometry for process monitoring in microalgae biotechnology |
| title_sort | multispectral imaging flow cytometry for process monitoring in microalgae biotechnology |
| topic | Multispectral imaging flow cytometry Multispectral Algae Process monitoring Chemometrics Biotechnology |
| url | http://www.sciencedirect.com/science/article/pii/S2590007222000223 |
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