scholarly journals Detection of toxic phytoplankton species by immunochemical particle analysis based on flow cytometry

1994 ◽  
Vol 28 (3-4) ◽  
pp. 249-254 ◽  
Author(s):  
Engel G. Vrieling ◽  
Winfried W. C. Gieskes ◽  
Wilhelmus J. M. Zeijl ◽  
Marten Veenhuis
Keyword(s):  
Flow Cytometry ◽  
Particle Analysis ◽  
Phytoplankton Species ◽  
Toxic Phytoplankton

scholarly journals Quantitative Urine Particle Analysis: Integrative Approach for the Optimal Combination of Automation with UF-100 and Microscopic Review with KOVA Cell Chamber

2003 ◽  
Vol 49 (4) ◽  
pp. 617-623 ◽  
Author(s):  
Cornelia Ottiger ◽  
Andreas R Huber
Keyword(s):  
Flow Cytometry ◽  
Correlation Coefficients ◽  
Urine Samples ◽  
Cell Counting ◽  
Integrative Approach ◽  
Particle Analysis ◽  
Chamber System ◽  
Sediment Analysis ◽  
Dysmorphic Erythrocytes ◽  
Cell Chamber

Abstract Background: Automated systems have enabled the counting of particles in urine to be standardized. Their superiority over traditional sediment analysis has been well documented, but they have not gained wide acceptance. The reasons for this are that sediment analysis has been performed and interpreted for decades. Additionally, pathologic casts and other unknown particles still must be confirmed under the microscope. Furthermore, comparison between the methods has revealed outliers and thus decreased confidence in automation. Methods: We used the standardized KOVA cell chamber system to count particles and compared the results with UF-100 flow cytometry as an alternative to traditional sediment analysis. Results: We compared 252 randomly selected urine samples and obtained a review rate of 33%. Microscopic verification was necessary because of the presence of casts, yeast, sperm, dysmorphic erythrocytes, and some misclassified erythrocytes or leukocytes that were detected by incongruent dipstick results and abnormal scattergrams. We obtained correlation coefficients of 0.966 for erythrocytes and 0.935 for leukocytes. Criteria for an algorithm to identify samples that needed microscopic review were derived from comparisons between the number of particles from UF-100, dipstick results, cell chamber counting, and sediment analysis. Conclusions: Automated cell counting combined with microscopic counting with a standardized cell chamber system is useful. An objective algorithm for review criteria can be developed via systematic comparison of UF-100 flow cytometry and microscopy. Only urine samples that meet these criteria need to be confirmed microscopically.

scholarly journals Stimulated Raman scattering flow cytometry for label-free single-particle analysis

Optica ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 103 ◽  
Author(s):  
Chi Zhang ◽  
Kai-Chih Huang ◽  
Bartek Rajwa ◽  
Junjie Li ◽  
Shiqi Yang ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Raman Scattering ◽  
Single Particle ◽  
Stimulated Raman Scattering ◽  
Particle Analysis ◽  
Single Particle Analysis ◽  
Label Free ◽  
Stimulated Raman

scholarly journals Future temperature and salinity do not exert selection pressure on cyst germination of a toxic phytoplankton species

2019 ◽  
Vol 9 (8) ◽  
pp. 4443-4451 ◽  
Author(s):  
Jacqueline Jerney ◽  
Sanna Suikkanen ◽  
Elin Lindehoff ◽  
Anke Kremp
Keyword(s):  
Selection Pressure ◽  
Phytoplankton Species ◽  
Toxic Phytoplankton ◽  
Cyst Germination

Unattended monitoring of potentially toxic phytoplankton species in the Baltic Sea in 1993

1995 ◽  
Vol 17 (4) ◽  
pp. 891-902 ◽  
Author(s):  
Juhu-Markku Leppänen ◽  
Eija Rantajärvi ◽  
Seija Hällfors ◽  
Mikaela Kruskopf ◽  
Vesa Laine
Keyword(s):  
Baltic Sea ◽  
Phytoplankton Species ◽  
The Baltic Sea ◽  
Toxic Phytoplankton ◽  
The Baltic
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