High-Throughput Investigation of Polymerization Kinetics by Online Monitoring of GPC and GC

2004 ◽  
Vol 25 (1) ◽  
pp. 237-242 ◽  
Author(s):  
Richard Hoogenboom ◽  
Martin W. M. Fijten ◽  
Caroline H. Abeln ◽  
Ulrich S. Schubert
Keyword(s):  
High Throughput ◽  
Online Monitoring ◽  
Polymerization Kinetics

Screening of cellulases for biofuel production: Online monitoring of the enzymatic hydrolysis of insoluble cellulose using high-throughput scattered light detection

2010 ◽  
Vol 6 (1) ◽  
pp. 74-85 ◽  
Author(s):  
Gernot Jäger ◽  
Helene Wulfhorst ◽  
Erik U. Zeithammel ◽  
Efthimia Elinidou ◽  
Antje C. Spiess ◽  
...  
Keyword(s):  
Enzymatic Hydrolysis ◽  
High Throughput ◽  
Online Monitoring ◽  
Scattered Light ◽  
Biofuel Production ◽  
Light Detection ◽  
Hydrolysis Of

Confocal Microscopy and Image Processing Techniques for Online Monitoring of Engineered Tissue

2009 ◽  
Author(s):  
Richard A. Lasher ◽  
Frank B. Sachse ◽  
Robert W. Hitchcock
Keyword(s):  
High Throughput ◽  
Online Monitoring ◽  
Cell Structure ◽  
Microscopic Imaging ◽  
Image Processing Techniques ◽  
Membrane Perforation ◽  
Engineered Tissue ◽  
Processing Techniques

Evaluation of engineered tissue is often limited to endpoint analyses, such as characterizing histology, gene expression and solutes [1]. Most of these applied analysis approaches are based on immunochemistry procedures that require excision, fixation and sectioning of the tissue as well as cell membrane perforation and labeling of proteins [2]. These analyses are time-consuming, do not facilitate high throughput processing and do not allow for online monitoring of engineered tissue. Because of these limitations, there is a need for online, high throughput monitoring techniques to evaluate engineered tissue. In this work, we introduce an approach for microscopic imaging and online analysis of living engineered tissue. The approach is based on application of a non-toxic dye specific for the extracellular space and subsequent interrogation by in vivo confocal microcopy. We hypothesized that the approach will allow for online characterization of cell structure.

154: Integration of TPSA and High-Throughput Mass Spectrometry Data Improves Prostate Cancer Prediction

2007 ◽  
Vol 177 (4S) ◽  
pp. 52-53
Author(s):  
Stefano Ongarello ◽  
Eberhard Steiner ◽  
Regina Achleitner ◽  
Isabel Feuerstein ◽  
Birgit Stenzel ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mass Spectrometry ◽  
High Throughput ◽  
Mass Spectrometry Data ◽  
Cancer Prediction
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