Evaluation of continuous nonaffinity capture chromatography for a recombinant enzyme—optimization for a changing perfusion feedstream and comparison to batch processing

2018 ◽  
Vol 34 (5) ◽  
pp. 1195-1204 ◽  
Author(s):  
Christopher Thompson ◽  
Kelly Wilson ◽  
Christopher Larkin ◽  
Jeong Lee ◽  
William K. Wang ◽  
...  
Keyword(s):  
Batch Processing ◽  
Recombinant Enzyme ◽  
Enzyme Optimization

scholarly journals Maize-IAS: a maize image analysis software using deep learning for high-throughput plant phenotyping

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Shuo Zhou ◽  
Xiujuan Chai ◽  
Zixuan Yang ◽  
Hongwu Wang ◽  
Chenxue Yang ◽  
...  
Keyword(s):  
Computer Vision ◽  
Image Analysis ◽  
Deep Learning ◽  
High Throughput ◽  
Batch Processing ◽  
Plant Phenotyping ◽  
Plant Science ◽  
Analysis Software ◽  
Image Analysis Software ◽  
Maize Growth

Abstract Background Maize (Zea mays L.) is one of the most important food sources in the world and has been one of the main targets of plant genetics and phenotypic research for centuries. Observation and analysis of various morphological phenotypic traits during maize growth are essential for genetic and breeding study. The generally huge number of samples produce an enormous amount of high-resolution image data. While high throughput plant phenotyping platforms are increasingly used in maize breeding trials, there is a reasonable need for software tools that can automatically identify visual phenotypic features of maize plants and implement batch processing on image datasets. Results On the boundary between computer vision and plant science, we utilize advanced deep learning methods based on convolutional neural networks to empower the workflow of maize phenotyping analysis. This paper presents Maize-IAS (Maize Image Analysis Software), an integrated application supporting one-click analysis of maize phenotype, embedding multiple functions: (I) Projection, (II) Color Analysis, (III) Internode length, (IV) Height, (V) Stem Diameter and (VI) Leaves Counting. Taking the RGB image of maize as input, the software provides a user-friendly graphical interaction interface and rapid calculation of multiple important phenotypic characteristics, including leaf sheath points detection and leaves segmentation. In function Leaves Counting, the mean and standard deviation of difference between prediction and ground truth are 1.60 and 1.625. Conclusion The Maize-IAS is easy-to-use and demands neither professional knowledge of computer vision nor deep learning. All functions for batch processing are incorporated, enabling automated and labor-reduced tasks of recording, measurement and quantitative analysis of maize growth traits on a large dataset. We prove the efficiency and potential capability of our techniques and software to image-based plant research, which also demonstrates the feasibility and capability of AI technology implemented in agriculture and plant science.

scholarly journals Functional expression of human cathepsin S in Saccharomyces cerevisiae. Purification and characterization of the recombinant enzyme.

1993 ◽  
Vol 268 (7) ◽  
pp. 4832-4838 ◽  
Author(s):  
D. Brömme ◽  
P.R. Bonneau ◽  
P. Lachance ◽  
B. Wiederanders ◽  
H. Kirschke ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Functional Expression ◽  
Recombinant Enzyme ◽  
Cathepsin S ◽  
Purification And Characterization ◽  
Human Cathepsin

scholarly journals Enhanced virulence of Beauveria bassiana against Diatraea saccharalis using a soluble recombinant enzyme with endo- and exochitinase activity

2020 ◽  
Vol 144 ◽  
pp. 104211
Author(s):  
Andrea Lovera ◽  
Mariano Belaich ◽  
Laura Villamizar ◽  
Manuel A. Patarroyo ◽  
Gloria Barrera
Keyword(s):  
Beauveria Bassiana ◽  
Recombinant Enzyme ◽  
Diatraea Saccharalis

Scheduling a batch processing machine with non-identical job sizes: a clustering perspective

2011 ◽  
Vol 49 (19) ◽  
pp. 5755-5778 ◽  
Author(s):  
Huaping Chen ◽  
Bing Du ◽  
George Q. Huang
Keyword(s):  
Batch Processing ◽  
Processing Machine ◽  
Batch Processing Machine

Geranylgeranylglyceryl Phosphate Synthase. Characterization of the Recombinant Enzyme fromMethanobacterium thermoautotrophicum†

Biochemistry ◽  
2001 ◽  
Vol 40 (49) ◽  
pp. 14847-14854 ◽  
Author(s):  
Tim Soderberg ◽  
Anjun Chen ◽  
C. Dale Poulter
Keyword(s):  
Recombinant Enzyme ◽  
Phosphate Synthase

Minimizing total tardiness on a batch processing machine with incompatible job families

1998 ◽  
Vol 30 (2) ◽  
pp. 165-178 ◽  
Author(s):  
SANJAY V. MEHTA ◽  
REHA UZSOY
Keyword(s):  
Batch Processing ◽  
Total Tardiness ◽  
Processing Machine ◽  
Batch Processing Machine

scholarly journals CotA laccase: high-throughput manipulation and analysis of recombinant enzyme libraries expressed in E. coli using droplet-based microfluidics

The Analyst ◽  
2014 ◽  
Vol 139 (13) ◽  
pp. 3314-3323 ◽  
Author(s):  
Thomas Beneyton ◽  
Faith Coldren ◽  
Jean-Christophe Baret ◽  
Andrew D. Griffiths ◽  
Valérie Taly
Keyword(s):  
Directed Evolution ◽  
High Throughput ◽  
Recombinant Enzyme ◽  
Cell Analysis ◽  
E Coli ◽  
Cota Laccase

A high-throughput cell analysis and sorting platform using droplet-based microfluidics is introduced for directed evolution of recombinant CotA laccase expressed in E. coli.

Bicriterion scheduling with equal processing times on a batch processing machine

2009 ◽  
Vol 36 (1) ◽  
pp. 110-118 ◽  
Author(s):  
L.L. Liu ◽  
C.T. Ng ◽  
T.C.E. Cheng
Keyword(s):  
Batch Processing ◽  
Processing Machine ◽  
Processing Times ◽  
Batch Processing Machine ◽  
Equal Processing Times

472 EXPRESSION OF THE GENE ENCODING OXALATE DECARBOXYLASE FROM BACILLUS SUBTILIS AND PURIFICATION OF THE RECOMBINANT ENZYME

2010 ◽  
Vol 9 (2) ◽  
pp. 167
Author(s):  
E. Lee ◽  
Y.H. Park ◽  
B.C. Jeong ◽  
S.B. Lee ◽  
J.H. Ku ◽  
...  
Keyword(s):  
Bacillus Subtilis ◽  
Recombinant Enzyme ◽  
Oxalate Decarboxylase ◽  
Gene Encoding
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