Multispectral imaging flow cytometry for process monitoring in microalgae biotechnology

Kraus, Daniel; Böke, Julia Sophie; Ehrhardt, Enrico; Henkel, Thomas

doi:10.1016/j.mne.2022.100125

Cited by 3 publications

(5 citation statements)

References 27 publications

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“…With application-specific extensions, a wide range of data acquisition modes and applications can be addressed. They range from standard 2D high-throughput imaging 13 over tomographic IFC (tIFC) 12 with 3D reconstruction or volumetric absorbance imaging to image-based cell sorting 14 , multispectral IFC (mIFC) 15 and even Brownian motion imaging flow cytometry (bmIFC) 16 for the analysis of nanoparticles or liposomes.…”

Section: Applications Of Ifcmentioning

confidence: 99%

“…We enable spectrally selective imaging of particle collections by combining optical filters with a 3-chip RGB camera 15 and image processing methods 17 , resulting in multispectral absorbance IFC. Depending on the sample of interest and its spectral characteristics, this method can be non-invasive, label-free and is not prone to photobleaching.…”

Section: Multispectral Absorbance Ifcmentioning

confidence: 99%

“…The approach has been applied to the high-content screening of microalgae populations from a bioreactor. We determined the amount of substance and molecular distribution of Chlorophyll (Chl) and Astaxanthin (Ax) within the microalga (Figure 2, d) 15 . The cellular structure is resolved through phase-contrast information and separated from Chl and Ax components.…”

Section: Multispectral Absorbance Ifcmentioning

confidence: 99%

“…The cellular structure is resolved through phase-contrast information and separated from Chl and Ax components. The microalgae's morphological and compositional changes are revealed on a single-cell level 15 .…”

Section: Multispectral Absorbance Ifcmentioning

confidence: 99%

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Imaging flow cytometry for modern particle analysis

Boeke¹,

Henkel

2023

High-Speed Biomedical Imaging and Spectroscopy VIII

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Imaging flow cytometry (IFC) is widely accepted as a generic method for population analysis of even huge particle collections. Combined with tailored optical setups, on-chip sample management and task-specific data analysis, it uses modern imaging modalities for high-throughput applications. In our work, we demonstrate the capabilities of a generic microfluidic chip concept, which can be easily customized for applications in conventional and 3D imaging flow cytometry, particle sorting and Brownian motion analysis of nanoparticles.

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Section: Applications Of Ifcmentioning

confidence: 99%

Section: Multispectral Absorbance Ifcmentioning

confidence: 99%

Section: Multispectral Absorbance Ifcmentioning

confidence: 99%

Section: Multispectral Absorbance Ifcmentioning

confidence: 99%

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Imaging flow cytometry for modern particle analysis

Boeke¹,

Henkel

2023

High-Speed Biomedical Imaging and Spectroscopy VIII

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“…The built-in Bayer filter in front of a color complementary metal-oxide semiconductor (CMOS) image sensor allows for multispectral imaging, but is limited to three spectral channels. [26,27] Multiwavelength Raman spectroscopy has been integrated into imaging flow cytometry, demonstrating label-free chemical imaging of mammalian [28] and microalgal cells, [29,30] as well as enabling 12-plex analysis of cell staining with cyanine dye derivative labels. [31] However, this vibrational spectroscopy requires femtosecond pulsed laser excitation, which still limits miniaturization.…”

Section: Introductionmentioning

confidence: 99%

Computational Hyperspectral Microflow Cytometry

Yun,

Cadierno,

Kim

et al. 2024

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Miniaturized flow cytometry has significant potential for portable applications, such as cell‐based diagnostics and the monitoring of therapeutic cell manufacturing, however, the performance of current techniques is often limited by the inability to resolve spectrally‐overlapping fluorescence labels. Here, the study presents a computational hyperspectral microflow cytometer (CHC) that enables accurate discrimination of spectrally‐overlapping fluorophores labeling single cells. CHC employs a dispersive optical element and an optimization algorithm to detect the full fluorescence emission spectrum from flowing cells, with a high spectral resolution of ≈3 nm in the range from 450 to 650 nm. CHC also includes a dedicated microfluidic device that ensures in‐focus imaging through viscoelastic sheathless focusing, thereby enhancing the accuracy and reliability of microflow cytometry analysis. The potential of CHC for analyzing T lymphocyte subpopulations and monitoring changes in cell composition during T cell expansion is demonstrated. Overall, CHC represents a major breakthrough in microflow cytometry and can facilitate its use for immune cell monitoring.

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