Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton

Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluoresc...
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Autor*in:	Bo Xiong [verfasserIn] Tianqi Hong [verfasserIn] Herbert Schellhorn [verfasserIn] Qiyin Fang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	flow cytometry phytoplankton lensless imaging fluorescence imaging miniaturization microfluidic

Übergeordnetes Werk:	In: Photonics - MDPI AG, 2014, 8(2021), 10, p 435
Übergeordnetes Werk:	volume:8 ; year:2021 ; number:10, p 435

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/photonics8100435

Katalog-ID:	DOAJ014672286

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520			\|a Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring.
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allfields	10.3390/photonics8100435 doi (DE-627)DOAJ014672286 (DE-599)DOAJb8b1d02914544438b48432d9ffd6a5cd DE-627 ger DE-627 rakwb eng TA1501-1820 Bo Xiong verfasserin aut Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring. flow cytometry phytoplankton lensless imaging fluorescence imaging miniaturization microfluidic Applied optics. Photonics Tianqi Hong verfasserin aut Herbert Schellhorn verfasserin aut Qiyin Fang verfasserin aut In Photonics MDPI AG, 2014 8(2021), 10, p 435 (DE-627)786192763 (DE-600)2770002-1 23046732 nnns volume:8 year:2021 number:10, p 435 https://doi.org/10.3390/photonics8100435 kostenfrei https://doaj.org/article/b8b1d02914544438b48432d9ffd6a5cd kostenfrei https://www.mdpi.com/2304-6732/8/10/435 kostenfrei https://doaj.org/toc/2304-6732 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 10, p 435
spelling	10.3390/photonics8100435 doi (DE-627)DOAJ014672286 (DE-599)DOAJb8b1d02914544438b48432d9ffd6a5cd DE-627 ger DE-627 rakwb eng TA1501-1820 Bo Xiong verfasserin aut Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring. flow cytometry phytoplankton lensless imaging fluorescence imaging miniaturization microfluidic Applied optics. Photonics Tianqi Hong verfasserin aut Herbert Schellhorn verfasserin aut Qiyin Fang verfasserin aut In Photonics MDPI AG, 2014 8(2021), 10, p 435 (DE-627)786192763 (DE-600)2770002-1 23046732 nnns volume:8 year:2021 number:10, p 435 https://doi.org/10.3390/photonics8100435 kostenfrei https://doaj.org/article/b8b1d02914544438b48432d9ffd6a5cd kostenfrei https://www.mdpi.com/2304-6732/8/10/435 kostenfrei https://doaj.org/toc/2304-6732 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 10, p 435
allfields_unstemmed	10.3390/photonics8100435 doi (DE-627)DOAJ014672286 (DE-599)DOAJb8b1d02914544438b48432d9ffd6a5cd DE-627 ger DE-627 rakwb eng TA1501-1820 Bo Xiong verfasserin aut Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring. flow cytometry phytoplankton lensless imaging fluorescence imaging miniaturization microfluidic Applied optics. Photonics Tianqi Hong verfasserin aut Herbert Schellhorn verfasserin aut Qiyin Fang verfasserin aut In Photonics MDPI AG, 2014 8(2021), 10, p 435 (DE-627)786192763 (DE-600)2770002-1 23046732 nnns volume:8 year:2021 number:10, p 435 https://doi.org/10.3390/photonics8100435 kostenfrei https://doaj.org/article/b8b1d02914544438b48432d9ffd6a5cd kostenfrei https://www.mdpi.com/2304-6732/8/10/435 kostenfrei https://doaj.org/toc/2304-6732 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 10, p 435
allfieldsGer	10.3390/photonics8100435 doi (DE-627)DOAJ014672286 (DE-599)DOAJb8b1d02914544438b48432d9ffd6a5cd DE-627 ger DE-627 rakwb eng TA1501-1820 Bo Xiong verfasserin aut Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring. flow cytometry phytoplankton lensless imaging fluorescence imaging miniaturization microfluidic Applied optics. Photonics Tianqi Hong verfasserin aut Herbert Schellhorn verfasserin aut Qiyin Fang verfasserin aut In Photonics MDPI AG, 2014 8(2021), 10, p 435 (DE-627)786192763 (DE-600)2770002-1 23046732 nnns volume:8 year:2021 number:10, p 435 https://doi.org/10.3390/photonics8100435 kostenfrei https://doaj.org/article/b8b1d02914544438b48432d9ffd6a5cd kostenfrei https://www.mdpi.com/2304-6732/8/10/435 kostenfrei https://doaj.org/toc/2304-6732 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 10, p 435
allfieldsSound	10.3390/photonics8100435 doi (DE-627)DOAJ014672286 (DE-599)DOAJb8b1d02914544438b48432d9ffd6a5cd DE-627 ger DE-627 rakwb eng TA1501-1820 Bo Xiong verfasserin aut Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring. flow cytometry phytoplankton lensless imaging fluorescence imaging miniaturization microfluidic Applied optics. Photonics Tianqi Hong verfasserin aut Herbert Schellhorn verfasserin aut Qiyin Fang verfasserin aut In Photonics MDPI AG, 2014 8(2021), 10, p 435 (DE-627)786192763 (DE-600)2770002-1 23046732 nnns volume:8 year:2021 number:10, p 435 https://doi.org/10.3390/photonics8100435 kostenfrei https://doaj.org/article/b8b1d02914544438b48432d9ffd6a5cd kostenfrei https://www.mdpi.com/2304-6732/8/10/435 kostenfrei https://doaj.org/toc/2304-6732 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 10, p 435
language	English
source	In Photonics 8(2021), 10, p 435 volume:8 year:2021 number:10, p 435
sourceStr	In Photonics 8(2021), 10, p 435 volume:8 year:2021 number:10, p 435
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	flow cytometry phytoplankton lensless imaging fluorescence imaging miniaturization microfluidic Applied optics. Photonics
isfreeaccess_bool	true
container_title	Photonics
authorswithroles_txt_mv	Bo Xiong @@aut@@ Tianqi Hong @@aut@@ Herbert Schellhorn @@aut@@ Qiyin Fang @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
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callnumber-first	T - Technology
author	Bo Xiong
spellingShingle	Bo Xiong misc TA1501-1820 misc flow cytometry misc phytoplankton misc lensless imaging misc fluorescence imaging misc miniaturization misc microfluidic misc Applied optics. Photonics Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton
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topic_title	TA1501-1820 Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton flow cytometry phytoplankton lensless imaging fluorescence imaging miniaturization microfluidic
topic	misc TA1501-1820 misc flow cytometry misc phytoplankton misc lensless imaging misc fluorescence imaging misc miniaturization misc microfluidic misc Applied optics. Photonics
topic_unstemmed	misc TA1501-1820 misc flow cytometry misc phytoplankton misc lensless imaging misc fluorescence imaging misc miniaturization misc microfluidic misc Applied optics. Photonics
topic_browse	misc TA1501-1820 misc flow cytometry misc phytoplankton misc lensless imaging misc fluorescence imaging misc miniaturization misc microfluidic misc Applied optics. Photonics
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title	Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton
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title_full	Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton
author_sort	Bo Xiong
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author_browse	Bo Xiong Tianqi Hong Herbert Schellhorn Qiyin Fang
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title_sort	dual-modality imaging microfluidic cytometer for onsite detection of phytoplankton
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title_auth	Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton
abstract	Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring.
abstractGer	Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring.
abstract_unstemmed	Phytoplankton monitoring is essential for better understanding and mitigation of phytoplankton bloom formation. We present a microfluidic cytometer with two imaging modalities for onsite detection and identification of phytoplankton: a lensless imaging mode for morphological features, and a fluorescence imaging mode for autofluorescence signal of phytoplankton. Both imaging modes are integrated in a microfluidic device with a field of view (FoV) of 3.7 mm × 2.4 mm and a depth of field (DoF) of 0.8 mm. The particles in the water flow channel can be detected and classified with automated image processing algorithms and machine learning models using their morphology and fluorescence features. The performance of the device was demonstrated by measuring <i<Chlamydomonas</i<, <i<Euglena</i<, and non-fluorescent beads in both separate and mixed flow samples. The recall rates for <i<Chlamydomonas</i< and <i<Euglena</i< ware 93.6% and 94.4%. The dual-modality imaging approach enabled observing both morphology and fluorescence features with a large DoF and FoV which contribute to high-throughput analysis. Moreover, this imaging flow cytometer platform is portable, low-cost, and shows potential in the onsite phytoplankton monitoring.
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container_issue	10, p 435
title_short	Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton
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