Algae Community Structure Scanning Imaging Analysis System

8th Floor, Building 2, East China Normal University Science and Technology Park, 1038 Jinshajiang Road, Shanghai, China

major function
1. Professional analysis of phytoplankton cells, while possessing classic functions of traditional flow cytometry
2. It can scan and record the dynamic changes of various optical signals (scattering, fluorescence)
3. It can achieve high-frequency and in-situ analysis of changes in water microbial communities and dominant species
4. The biomass can be linearly evaluated within the complete range of algal particle size spectrum
5. It can directly analyze the large-scale range of planktonic algae and community structure, and can analyze the changes in Microcystis community structure on site
6. Adjustable PMT can adjust the sensitivity of the detector according to the size of the detected particles
7. Flow imaging technology can be used to set up gates for groups of interest and take specialized photos
8. Pulse signal fingerprint technology, with intuitive and convenient gates, provides a more realistic reflection of cell morphology
9. Underwater measurement (CytoSub) can analyze the dynamics of phytoplankton throughout the entire euphotic layer
10. Can be integrated into buoys or other carriers for online monitoring, and can be used in conjunction with CTD for profile measurement of water bodies
11. Implement remote control of laboratory base station based automatic online monitoring, which can achieve fully automatic detection and unmanned online monitoring

Measurement parameters
Optical parameters: Forward scattering FWS, lateral scattering SWS, fluorescence scattering FLR FLY、 FLO
Morphological parameters: Can simultaneously obtain 9 topological indicators including cell and particle morphology and physical properties (quantity, length, size, morphology, particle size, pigment, peak number, etc.), population characteristics, pulse maps, and at least 45 sets of parameters
Absolute Count:Total particle count in natural water bodies, cluster counting and concentration calculation can be achieved after the ring gate, which can realize the function of counting the number of single cells in chain algae
Other measurement parameters:Analyze volume, injection rate, etc

application area
1. Marine ecology and freshwater ecology
2. Watershed monitoring and management
3. Oceanography and Limnology
4. Warning of harmful algal blooms (HABs)
5. Microalgae Biotechnology
6. Monitoring and management of rivers, reservoirs, lakes, and oceans
7. Monitoring and Management
8. Water quality monitoring of water sources, water plants, and sewage treatment plants
9. Eutrophication research
10. Algae Environmental Biology
11. Aquaculture

Purchasing Guide:
1、 Portable phytoplankton flow cytometer CytoSense
System composition:
Flow cytometer analysis host:Coherent high-quality continuous solid-state laser, standard wavelength 488nm, optional wavelengths 445nm, 635nm, 640nm, 660nm, etc，Up to 7 detectors can be configured (detection channels include FWS L+R, SWS, YF, RF, OF).
Outdoor portable casing:The instrument adopts a carbon fiber shell and splash proof design, making it lighter (<15kg). The whole machine is installed on a lightweight aluminum frame with high-quality shock-absorbing pads. Packaged in a portable airline case.
Data analysis system:Includes portable laptop, pre installed data acquisition software CytoUSB, and data analysis software CytoPlus
Batch processing data analysis software EasyClus: MatLab software needs to be purchased for use together
High speed flow imaging module:Optional.





Portable phytoplankton flow cytometer		Easyclus particle size distribution map		Easyclus scatter plot
System composition:
host:Shallow water version of Cytosib (20 meters underwater), including all basic configurations of CytoSense
Buoy module:Including buoys, solar panels, rechargeable batteries, buoy lights, electronic systems, wireless transmission devices, and waterproof connectors for sampling tubes. According to user needs, it can also be expanded into a detachable buoy module, so that users can easily switch between CytoSense (indoor use) and CytoBuoy (online monitoring).
Attention: Online monitoring in the field is not limited to using buoys as platforms, other platforms are also acceptable as long as they have space and power supply to place CytoSense. At the same time, adding a Bacterial staining module can achieve automatic staining and online analysis of heterotrophic microorganisms in water bodies, and can detect particles such as algae, bacteria, plankton, and sediment online. Please call for specific information.


		CytoBOY float
CytoBoy communication mode: wireless communication


3、 Underwater phytoplankton flow cytometer - CytoSub
host:The desktop CytoSense is designed to be splash proof and can be used in the field, but cannot be used underwater. CytoSense combined with an underwater module (SUB MODULE) forms the underwater flow cytometer CytoSub.
Underwater moduleA waterproof casing that can withstand a water depth of 200 meters, including valves and injection loop components (including circulation pump), electronic control unit, data acquisition, underwater connectors, and brackets.



	Cytosubhost		CytoSenseWithCytoSubtransformation
Working mode one: AUV equipped



		Utilizing the UK National Marine CentreAutoSubtypeAUVEquipped withCytoSub
Working Mode 2: Underwater Vertical Profile Analysis


		WithCTDMeasure together
Attention: In addition, underwater phytoplankton flow cytometryCytoSubCan be applied to buoys,FerryboxWaiting for monitoring platforms to obtain information on the biomass of phytoplankton at different levels of vertical profiles, providing data basis for studying the mechanism of Microcystis sinking and floating, and the impact of factors such as plankton, hydrology, and water quality on the ecological niche of phytoplankton.


		CytoSenseDetection object
Origin: NetherlandsCytoBuoy

reference

Data source: Cytometry, Google Scholar, and others have collected nearly 100 relevant literature as of 2016.

1. Simon Bonato a, Elsa Breton , al e: Spatio-temporal patterns in phytoplankton assemblages ininshore–offshore gradients using flow cytometry: A case study in the eastern English Channel, Journal of Marine Systems 2016,76-83.[CytoSense]

2. Goran Bakalar & Vinko Tomas, Possibility of Using Flow Cytometry in the Treated Ballast Water Quality Detection, Pomorski zbornik 51 (2016), 43-55

3. Quan Zhou, Wei Chen, al e: A flow cytometer based protocol for quantitative analysis of bloom-forming cyanobacteria (Microcystis) in lake sediments, Journal of Environmental Sciences 2012, 24(9) 1709–1716

4. A. Mansour, I. Leblond al.e: Invited Paper: Wireless Sensor Networks for Ecosystem Monitoring & Port Surveillance. (WSCN 2013)

5. Endymion D. Cooper , Bastian Bentlage al e: Metatranscriptome profiling of a harmful algal bloom.Harmful Algea 37(2014)75-83.

6. SERGIO A. COELHO-SOUZA, FÁBIO V. ARAÚJO al e: Bacterial and Archaeal Communities Variability Associated with Upwelling and Anthropogenic Pressures in the Protection Area of Arraial do Cabo (Cabo Frio region - RJ). Anais da Academia Brasileira de Ci ências (2015) 87(3):1737-1750

7. Malkassian, A., D. Nerini, al. e: Functional analysis and classification of phytoplankton based on data from an automated flow cytometer. Cytometry Part A 2011, 94A:263-275. [Cytosense]

8. Thyssen, M., B. Beker, al. e: Phytoplankton distribution during two contrasted summers in a Mediterranean harbour: combining automated submersible flow cytometry with conventional techniques. Environmental Monitoring and Assessment 2011, 173:1-16.

9. Thyssen, M., Denis M: Temporal and Spatial High-Frequency Monitoring of Phytoplankton by Automated Flow Cytometry and Pulse-Shape Analysis. Springer Netherlands 2011:293-298.

10. Vidoudez, C., J. C. Nejstgaard, al. e: Dynamics of Dissolved and Particulate Polyunsaturated Aldehydes in Mesocosms Inoculated with Different Densities of the Diatom Skeletonema marinoi. Marine Drugs 2011, 9: 345-358.

11. Hansen, B. W., H. H. Jakobsen, al. e: Swimming behavior and prey retention of the polychaete larvae Polydora ciliata. Journal of Experimental Biology 2010:3237-3246.

12. Pereira GC, Figuiredo ARd, Jabor PM, Ebecken1 NFF: Assessing the ecological status of plankton in Anjos Bay: a flowcytometry approach. Biogeosciences Discuss 2010, 7:6243–6264. [cytobuoy]

13. Barofsky, A., Simonelli P, al e: Growth phase of the diatom Skeletonema marinoi influences the metabolic profile of the cells and the selective feeding of the copepod Calanus spp. J Plankton Res 2009, 32:263-272. [CytoBuoy]

14. Donk V, E., Cerbin S, al e: The effect of a mixotrophic chrysophyte on toxic and colony-forming cyanobacteria. Freshwater Biology 2009, 54:1843-1855.

15. Pereira, C. G, Granato A, al. e: Virioplankton Abundance in Trophic Gradients of an Upwelling Field. Brazilian Journal of Microbiology 2009, 40:857-865. [CytoBuoy]

16. Thyssen, M., Mathieu D, al. e: Short-term variation of phytoplankton assemblages in Mediterranean coastal waters recorded with an automated submerged flow cytometer. J Plankton Res 2008, 30:1027-1040. [Cytosub]

17. Thyssen, T. M, Garcia N, al. e: Sub meso scale phytoplankton distribution in the north east Atlantic surface waters determined with an automated flow cytometer. Biogeosciences Discuss 2008, 5:2471-2503. [Cytosub]

18. Dubelaar, J. GB, Casotti R, al. e: Phytoplankton and their analysis by flow cytometry. Flow Cytometry with Plant Cells 2007:287-322. [CytoBuoy]

19. Takabayashi, M., Lew K, al e: The effect of nutrient availability and temperature on chain length of the diatom, Skeletonema costatum. J Plankton Res 2006, 28:831-840. [CytoSense]

20. Takabayashi, M., Wilkerson FP, al. e: Response Of Glutamine Synthetase Gene Transcription And Enzyme Activity To External Nitrogen Sources In The Diatom Skeletonema Costatum (Bacillariophyceae). J Phycol 2005, 41:84-94. [Cytobuoy]

21. Dubelaar, J. GB, Geerders PJF: Innovative technologies to monitor plankton dynamics. Sea Technol 2004, 45:15-21. [CytoSub]

22. Dubelaar, J. GB, Geerders PJF, al. e: High frequency monitoring reveals phytoplankton dynamics. J Environ Monit 2004, 6:946-952. [Cytosense]

23 Cunninghama, A., McKeea D, al e: Fine-scale variability in phytoplankton community structure and inherent optical properties measured from an autonomous underwater vehicle. J Mar Syst 2003, 43:51-59.

24. Dubelaar, J. GB, Gerritzen PL: CytoBuoy: a step forward towards using flow cytometry in operational oceanography. Sci Mar (Barc) 2000, 64:255-265. [CytoBuoy]

25. Dubelaar, J. GB, Jonker RR: Flow cytometry as a tool for the study of phytoplankton. Scientia Marina 2000, 64. [CytoBuoy]

26. Jonker R, Droben R, Tarran G, Medlin L, Wilkins M, Garcla L, zabala L, boddy l: Automated identification and characterisation of microbial populations using flow cytometry: the AIMS project. scientia marina 2000, 64:225-234. [Cyto]

27. Woodd-Walker, S. R, Gallienne CP, al e: A test model for optical plankton counter (OPC) coincidence and a comparison of OPC-derived and conventional measures of plankton abundance. J Plankton Res 2000, 22:473-483.

28. Dubelaar, J. GB, Gerritzen PL, al e: Design and first results of CytoBuoy: A wireless flow cytometer for in situ analysis of marine and fresh waters. Cytometry 1999, 37:247-254. [CytoBuoy]

29. Wilkins, F. M, Boddy L, al e: Identification of Phytoplankton from Flow Cytometry Data by Using Radial Basis Function Neural Networks." Appl Environ Microbiol 1999, 65:4404-4410.

30. Jonker, R. R, Meulemans JT, al e: Flow cytometry: A powerful tool in analysis of biomass distributions in phytoplankton. Water SciTechnol 1995, 32:177-182. [Cytosense]

31. Jonker, R. R, G. B. J. Dubelaar, al. e: The European Optical Plankton Analyser: A high dynamic range flow cytometer. Scientia Marina 1994.

32. Dubelaar, G. B. J., A. Groenewegen ea: Optical plankton analyser: a flow cytometer for plankton analysis, II: Specifications. Cytometry 1989, 10:529-539. [OPA]

33. Peeters, J. C. H., G. B. J. Dubelaar, al e: Optical plankton analyser: A flow cytometer for plankton analysis, I: Design considerations. Cytometry 1989, 10:522-528. [OPA]