TY - GEN N2 - An image cytometer (CYT) for the analysis of phytoplankton in fresh and marine water environments is introduced. A linear quantification of the number of cells over several orders of magnitude of concentrations was observed using cultures of <em>Tetraselmis</em> and <em>Nannochloropsis</em> measured by autofluorescence of the chlorophyll in a laboratory environment. The functionality of the system outside the laboratory was analysed by phytoplankton quantification of samples taken from marine water environment (Dutch Wadden Sea, The Netherlands) and fresh water environment (Lake Ijssel, The Netherlands). The CYT was also employed to study the effects of two ballast water treatment systems (BWTS), based on chlorine electrolysis and UV sterilisation by determining the vitality of the phytoplankton. In order to ensure the detection limit, a large volume (1l) of samples was collected and concentrated to 3 ml using Celltrap<sup>TM</sup> filters. The results were compared to benchmarked flow cytometer and PAM Fluorometry at Marine Eco-Analytics (MEA-NL). The image cytometer reached a 10 cells/ml limit of detection (LoD) with an accuracy between 0.7 and 0.5 log, and a correlation of 88.29% in quantification and 96.21% in vitality, when compared to benchmarked monitoring techniques. AB - An image cytometer (CYT) for the analysis of phytoplankton in fresh and marine water environments is introduced. A linear quantification of the number of cells over several orders of magnitude of concentrations was observed using cultures of <em>Tetraselmis</em> and <em>Nannochloropsis</em> measured by autofluorescence of the chlorophyll in a laboratory environment. The functionality of the system outside the laboratory was analysed by phytoplankton quantification of samples taken from marine water environment (Dutch Wadden Sea, The Netherlands) and fresh water environment (Lake Ijssel, The Netherlands). The CYT was also employed to study the effects of two ballast water treatment systems (BWTS), based on chlorine electrolysis and UV sterilisation by determining the vitality of the phytoplankton. In order to ensure the detection limit, a large volume (1l) of samples was collected and concentrated to 3 ml using Celltrap<sup>TM</sup> filters. The results were compared to benchmarked flow cytometer and PAM Fluorometry at Marine Eco-Analytics (MEA-NL). The image cytometer reached a 10 cells/ml limit of detection (LoD) with an accuracy between 0.7 and 0.5 log, and a correlation of 88.29% in quantification and 96.21% in vitality, when compared to benchmarked monitoring techniques. AD - ICFO – Institut de Ciencies Fotoniques, The Barcelona Institute of Sciences and Technology AD - LABAQUA AD - ICFO – Institut de Ciencies Fotoniques, The Barcelona Institute of Sciences and Technology AD - ICFO – Institut de Ciencies Fotoniques, The Barcelona Institute of Sciences and Technology AD - LABAQUA AD - LABAQUA AD - MemTeq Ventures Ltd AD - Marine Eco Analytics AD - ICREA – Institució Catalana de Recerca T1 - CMOS-based Image Cytometry for Detection of Phytoplankton in Ballast Water DA - 2017-01-13 AU - Jofre, M AU - Pérez, JM AU - Martínez, P AU - Hurth, C AU - Yánez, MA AU - Catalán, V AU - Parker, A AU - Veldhuis, M AU - Pruneria, V L1 - https://library.imarest.org/record/7536/files/10_24868BWTC6_2017_005.pdf JF - Conference Proceedings of BWTC VL - BWTC 2017 PY - 2017-01-13 ID - 7536 L4 - https://library.imarest.org/record/7536/files/10_24868BWTC6_2017_005.pdf KW - Ballast Water KW - image Cytometer KW - Cytometry KW - Phytoplankton KW - Compliance Monitoring KW - Maritime TI - CMOS-based Image Cytometry for Detection of Phytoplankton in Ballast Water Y1 - 2017-01-13 L2 - https://library.imarest.org/record/7536/files/10_24868BWTC6_2017_005.pdf LK - https://www.imarest.org/bwt LK - https://library.imarest.org/record/7536/files/10_24868BWTC6_2017_005.pdf UR - https://www.imarest.org/bwt UR - https://library.imarest.org/record/7536/files/10_24868BWTC6_2017_005.pdf ER -