Image processing for identification and quantification of filamentous bacteria in in situ acquired images

about

SParticle, an algorithm for the analysis of filamentous microorganisms in submerged cultures.A Changeable Lab-on-a-Chip Detector for Marine Nonindigenous Microorganisms in Ship's Ballast Water

P2860

Q47685176-839E804A-864B-428A-A172-5C5A46B56BA9 Q58577335-77752A45-9157-44D5-B361-FD8A3C5F906E

P2860

Image processing for identification and quantification of filamentous bacteria in in situ acquired images

Item

http://www.wikidata.org/entity/Q36049121

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

2016年论文

@zh

2016年论文

@zh-cn

name

Image processing for identific ...... ria in in situ acquired images

@ast

Image processing for identific ...... ria in in situ acquired images

@en

type

Item

label

Image processing for identific ...... ria in in situ acquired images

@ast

Image processing for identific ...... ria in in situ acquired images

@en

prefLabel

Image processing for identific ...... ria in in situ acquired images

@ast

Image processing for identific ...... ria in in situ acquired images

@en

P1476

Image processing for identific ...... ria in in situ acquired images

@en

P2093

Diego A S Fajado

http://www.w3.org/2001/XMLSchema#string

Erika de León Gallegos

http://www.w3.org/2001/XMLSchema#string

Hajo Suhr

http://www.w3.org/2001/XMLSchema#string

Martin Denecke

http://www.w3.org/2001/XMLSchema#string

Philipe A Dias

http://www.w3.org/2001/XMLSchema#string

Philipp Wiedemann

http://www.w3.org/2001/XMLSchema#string

Thiemo Dunkel

http://www.w3.org/2001/XMLSchema#string

P2860

An introduction to ROC analysis

In situ microscopy for on-line characterization of cell-populations in bioreactors, including cell-concentration measurements by depth from focus.

Biomass quantification by image analysis.

In situ microscopy as a tool for the monitoring of filamentous bacteria: a case study in an industrial activated sludge system dominated by M. parvicella.

In situ microscopy: a perspective for industrial bioethanol production monitoring.

Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review.

Evaluating the influence of wastewater composition on the growth of Microthrix parvicella by GCxGC/qMS and real-time PCR.

A Comparison between bright field and phase-contrast image analysis techniques in activated sludge morphological characterization.

On the development of a novel image analysis technique to distinguish between flocs and filaments in activated sludge images.

Evaluation of microscopic techniques (epifluorescence microscopy, CLSM, TPE-LSM) as a basis for the quantitative image analysis of activated sludge.

P2888

s12938-016-0197-7

P304

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/S12938-016-0197-7

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Fabio K. Schneider

P577

2016-06-11T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P6179

1009565333

http://www.w3.org/2001/XMLSchema#string

P698

27287755

http://www.w3.org/2001/XMLSchema#string

P932

4902998

http://www.w3.org/2001/XMLSchema#string

Image processing for identification and quantification of filamentous bacteria in in situ acquired images

about

P2860

P2860

Image processing for identification and quantification of filamentous bacteria in in situ acquired images

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P6179

P698

P932

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P6179

P698

P932