Hyperspectral imaging for flow cytometry

被引:0
作者
Essaulova, A. [1 ]
Perttila, R. [1 ]
Colucci, A. [1 ]
Uusimaa, P. [1 ]
机构
[1] Modulight Corp, Hermiankatu 22, Tampere 33720, Finland
来源
MULTIMODAL BIOMEDICAL IMAGING XIX | 2024年 / 12834卷
关键词
Flow cytometry; hyperspectral imaging; spectral cytometry; narrow bandwidth illumination;
D O I
10.1117/12.3003862
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Flow cytometry is a widely used analysis technique in biomedical sciences. It has found extensive utilization in both clinical diagnostics and cutting-edge biological research. As the method has been gaining greater recognition, its underlying technologies have undergone rapid development to further expand its range of applications. A notable trend is the introduction of imaging modalities to flow cytometry to expand the information content of the analyzed sample. The introduction of a camera component to the already well-established detectors, such as photo multiplier tubes (PMTs) or avalanche photo diodes (APDs), adds intricacy to the arrangement of optical subsystem in flow cytometer. Moreover, it brings forth additional requirements for effectively coordinating information capture among different detector types. An appealing alternative to address this challenge is hyperspectral imaging - a technique which enables capturing of the spatial and spectral information simultaneously. Yet, there has not been much research performed to study applications of hyperspectral imaging in combination with narrow bandwidth illumination commonly used in flow cytometry. In this work, we investigate the applicability of hyperspectral imaging to flow cytometrical systems, where a multiple wavelength laser system is utilized for sample illumination. A four-wavelength laser illumination platform developed by Modulight Corporation is utilized as the light source. Our main objective is to assess the hyperspectral imaging component's ability to distinguish between the illuminating light and the fluorescence emitted by the sample. Furthermore, we carefully evaluate the quality of the obtained hyperspectral images and explore the potential to differentiate samples based on the collected spatial data.
引用
收藏
页数:6
相关论文
共 8 条
[1]   Imaging Flow Cytometry: Coping with Heterogeneity in Biological Systems [J].
Barteneva, Natasha S. ;
Fasler-Kan, Elizaveta ;
Vorobjev, Ivan A. .
JOURNAL OF HISTOCHEMISTRY & CYTOCHEMISTRY, 2012, 60 (10) :723-733
[2]  
Cramer J, 2009, COMPREHENSIVE CHEMOMETRICS: CHEMICAL AND BIOCHEMICAL DATA ANALYSIS, VOLS 1-4, pC357
[3]  
Di Caprio G, 2013, Imaging and Applied Optics
[4]   Multispectral Imaging Flow Cytometry with Spatially and Spectrally Resolving Snapshot-Mosaic Cameras for the Characterization and Classification of Bioparticles [J].
Dittrich, Paul-Gerald ;
Kraus, Daniel ;
Ehrhardt, Enrico ;
Henkel, Thomas ;
Notni, Gunther .
MICROMACHINES, 2022, 13 (02)
[5]  
Filipchuk A, 2022, Development of a Hyperspectral Optical System for Flow Cytometry
[6]   Applications of imaging flow cytometry in the diagnostic assessment of acute leukaemia [J].
Grimwade, Lizz F. ;
Fuller, Kathryn A. ;
Erber, Wendy N. .
METHODS, 2017, 112 :39-45
[7]   Medical hyperspectral imaging: a review [J].
Lu, Guolan ;
Fei, Baowei .
JOURNAL OF BIOMEDICAL OPTICS, 2014, 19 (01)
[8]  
Thermo Fisher Scientific Inc, 2023, Attune CytPix Flow Cytometer