Dittrich Paul-Gerald, Kraus Daniel, Ehrhardt Enrico, Henkel Thomas, Notni Gunther
Department of Mechanical Engineering, Group for Quality Assurance and Industrial Image Processing, Technische Universität Ilmenau, Gustav-Kirchhoff-Platz 2, 98693 Ilmenau, Germany.
Department of Nanobiophotonics, Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany.
Micromachines (Basel). 2022 Jan 31;13(2):238. doi: 10.3390/mi13020238.
In the development and optimization of biotechnological cultivation processes the continuous monitoring through the acquisition and interpretation of spectral and morphological properties of bioparticles are challenging. There is therefore a need for the parallel acquisition and interpretation of spatially and spectrally resolved measurements with which particles can be characterized and classified in-flow with high throughput. Therefore, in this paper we investigated the scientific and technological connectivity of standard imaging flow cytometry (IFC) with filter-on-chip based spatially and spectrally resolving snapshot-mosaic cameras for photonic sensing and control in a smart and innovative microfluidic device. For the investigations presented here we used the microalgae (HP). These microalgae are used commercially to produce the antioxidant keto-carotenoid astaxanthin. Therefore, HP is relevant to practically demonstrate the usability of the developed system for Multispectral Imaging Flow Cytometry (MIFC) platform. The extension of standard IFC with snapshot-mosaic cameras and multivariate data processing is an innovative approach for the in-flow characterization and derived classification of bioparticles. Finally, the multispectral data acquisition and the therefore developed methodology is generalizable and enables further applications far beyond the here characterized population of HP cells.
在生物技术培养过程的开发和优化中，通过获取和解释生物颗粒的光谱及形态特性进行连续监测具有挑战性。因此，需要并行获取和解释空间和光谱分辨测量结果，以便能够以高通量对流动中的颗粒进行表征和分类。因此，在本文中，我们研究了标准成像流式细胞术（IFC）与基于芯片上滤光片的空间和光谱分辨快照拼接相机在智能创新微流控设备中进行光子传感和控制的科学技术关联性。对于此处展示的研究，我们使用了微藻（HP）。这些微藻在商业上用于生产抗氧化剂酮类胡萝卜素虾青素。因此，HP对于实际证明所开发的多光谱成像流式细胞术（MIFC）平台系统的可用性具有重要意义。用快照拼接相机和多变量数据处理扩展标准IFC是一种用于流动中生物颗粒表征和衍生分类的创新方法。最后，多光谱数据采集以及由此开发的方法具有通用性，并能够实现远远超出此处所表征的HP细胞群体的进一步应用。
