Cell identification and sizing using digital image analysis for estimation of cell biomass in High Rate Algal Ponds

A.J. Gray, D. Young, N.J. Martin, C.A. Glasbey

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Current environmental concerns make estimation of microbial biomass apriority for monitoring purposes and to advance scientific understanding. Thispaper considers problems associated with algal cell imaging and measurement forcell biomass estimation in samples from high rate algal ponds. In a complexsystem, the only way of measuring microbial activity is to measure theindividual cells and estimate biovolumes. Accurate biomass determinationsdemanddirect microscopic counting and measurement of the sizes of individualmicrobialcells taken from known volumes of water. The system used for routinemeasurementat the laboratory where the images were generated, based on standard microscopeequipment, is only suitable for treatment of well dispersed specimens.Differential interference contrast (DIC) microscopy, on the other hand, offersthe best solution for optical enhancement of cell contrast, and produces animage with well defined edges, yet presents a great challenge to routine cellidentification by digital image analysis, owing to the bas-relief type imageproduced. The paper outlines several image analysis methods developedspecifically for this purpose, and presents illustrative results.
LanguageEnglish
Pages193-204
Number of pages12
JournalJournal of Applied Phycology
Volume14
Issue number3
DOIs
Publication statusPublished - 1 Jun 2002

Fingerprint

digital images
digital image
image analysis
pond
biomass
cells
microbial activity
microbial biomass
microscopy
relief
monitoring
rate
sizing
water
sampling
methodology

Keywords

  • algae
  • biomass estimation
  • cells
  • differential interference contrast (DIC)
  • image analysis
  • statistics
  • biometrics

Cite this

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title = "Cell identification and sizing using digital image analysis for estimation of cell biomass in High Rate Algal Ponds",
abstract = "Current environmental concerns make estimation of microbial biomass apriority for monitoring purposes and to advance scientific understanding. Thispaper considers problems associated with algal cell imaging and measurement forcell biomass estimation in samples from high rate algal ponds. In a complexsystem, the only way of measuring microbial activity is to measure theindividual cells and estimate biovolumes. Accurate biomass determinationsdemanddirect microscopic counting and measurement of the sizes of individualmicrobialcells taken from known volumes of water. The system used for routinemeasurementat the laboratory where the images were generated, based on standard microscopeequipment, is only suitable for treatment of well dispersed specimens.Differential interference contrast (DIC) microscopy, on the other hand, offersthe best solution for optical enhancement of cell contrast, and produces animage with well defined edges, yet presents a great challenge to routine cellidentification by digital image analysis, owing to the bas-relief type imageproduced. The paper outlines several image analysis methods developedspecifically for this purpose, and presents illustrative results.",
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Cell identification and sizing using digital image analysis for estimation of cell biomass in High Rate Algal Ponds. / Gray, A.J.; Young, D.; Martin, N.J.; Glasbey, C.A.

In: Journal of Applied Phycology, Vol. 14, No. 3, 01.06.2002, p. 193-204.

Research output: Contribution to journalArticle

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N2 - Current environmental concerns make estimation of microbial biomass apriority for monitoring purposes and to advance scientific understanding. Thispaper considers problems associated with algal cell imaging and measurement forcell biomass estimation in samples from high rate algal ponds. In a complexsystem, the only way of measuring microbial activity is to measure theindividual cells and estimate biovolumes. Accurate biomass determinationsdemanddirect microscopic counting and measurement of the sizes of individualmicrobialcells taken from known volumes of water. The system used for routinemeasurementat the laboratory where the images were generated, based on standard microscopeequipment, is only suitable for treatment of well dispersed specimens.Differential interference contrast (DIC) microscopy, on the other hand, offersthe best solution for optical enhancement of cell contrast, and produces animage with well defined edges, yet presents a great challenge to routine cellidentification by digital image analysis, owing to the bas-relief type imageproduced. The paper outlines several image analysis methods developedspecifically for this purpose, and presents illustrative results.

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