Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Monica Tessman"'
Autor:
Sarah Tomczyk, Serdar Ozturk, Thomas Wawrzyniak, Monica Tessman, Christopher Ehrlich, Faisal Shaikh
Publikováno v:
Frontiers in Sustainability, Vol 3 (2022)
Succinic acid is an industrially important commodity chemical that acts as a precursor to numerous other chemicals. This article explores an alternative biochemical route (as opposed to the traditional route from petroleum), by modeling a succinic ac
Externí odkaz:
https://doaj.org/article/50a8ad5afa5644b5adf03d04bc332c4e
Autor:
Malia A. Gehan, Noah Fahlgren, Arash Abbasi, Jeffrey C. Berry, Steven T. Callen, Leonardo Chavez, Andrew N. Doust, Max J. Feldman, Kerrigan B. Gilbert, John G. Hodge, J. Steen Hoyer, Andy Lin, Suxing Liu, César Lizárraga, Argelia Lorence, Michael Miller, Eric Platon, Monica Tessman, Tony Sax
Publikováno v:
PeerJ, Vol 5, p e4088 (2017)
Systems for collecting image data in conjunction with computer vision techniques are a powerful tool for increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that are flexible and extenda
Externí odkaz:
https://doaj.org/article/4245848a443e445287f381f536725c33
Autor:
Andres Vigueras, Smith, Ramiro, Cabrera, William, Kondo, Monica Tessman, Zomer, Helder, Ferreira
Publikováno v:
Surgical technology international. 35
The present review aims to analyze the current information available on the pathophysiology, clinical presentation and treatment of vesico-vaginal fistulas (VVF), with particular focus on the safety and efficacy of minimally invasive surgical (MIS) t
Autor:
SMITH, ANDRES VIGUERAS, CABRERA, RAMIRO, KONDO, WILLIAM, ZOMER, MONICA TESSMAN, FERREIRA, HELDER
Publikováno v:
Surgical Technology International; 2019, Vol. 35, p1-10, 10p
Autor:
S. Elizabeth Castillo, Noah Fahlgren, Monica Tessman, Allison Tielking, Dmitri A. Nusinow, Jose Carlos Tovar, John Steen Hoyer, James C. Carrington, Malia A. Gehan, Andy Lin, Steven T. Callen, Michael Miller
Premise of the study: Image-based phenomics is a powerful approach to capture and quantify plant diversity. However, commercial platforms that make consistent image acquisition easy are often cost-prohibitive. To make high-throughput phenotyping meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71d91feebfa6cc8ef9ac7d80d2ceda0a
https://doi.org/10.1101/183822
https://doi.org/10.1101/183822
Autor:
James C. Carrington, Noah Fahlgren, Malia A. Gehan, Andy Lin, Monica Tessman, John Steen Hoyer, Dmitri A. Nusinow, Jose Carlos Tovar, Steven T. Callen, Allison Tielking, S. Elizabeth Castillo, Michael Miller
Publikováno v:
Applications in Plant Sciences
Premise of the study Image-based phenomics is a powerful approach to capture and quantify plant diversity. However, commercial platforms that make consistent image acquisition easy are often cost-prohibitive. To make high-throughput phenotyping metho
Autor:
Andy Lin, Leonardo Chavez, Malia A. Gehan, Kerrigan B. Gilbert, Andrew N. Doust, Arash Abbasi, Tony Sax, Suxing Liu, J. Steen Hoyer, Jeffrey C. Berry, Monica Tessman, Cesar Lizarraga, John G. Hodge, Max J. Feldman, Argelia Lorence, Eric Platon, Michael Miller, Steven T. Callen, Noah Fahlgren
Publikováno v:
PeerJ, Vol 5, p e4088 (2017)
PeerJ
PeerJ
Systems for collecting image data in conjunction with computer vision techniques are a powerful tool for increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that are flexible and extenda
Autor:
Tovar, Jose C.1, Hoyer, J. Steen1,2, Lin, Andy1, Tielking, Allison1, Callen, Steven T.1, Elizabeth Castillo, S.1, Miller, Michael1, Tessman, Monica1, Fahlgren, Noah1, Carrington, James C.1, Nusinow, Dmitri A.1, Gehan, Malia A.1 mgehan@danforthcenter.org
Publikováno v:
Applications in Plant Sciences. Mar2018, Vol. 6 Issue 3, p1-1. 12p.
Autor:
Gehan, Malia A., Fahlgren, Noah, Abbasi, Arash, Berry, Jeffrey C., Callen, Steven T., Chavez, Leonardo, Doust, Andrew N., Feldman, Max J., Gilbert, Kerrigan B., Hodge, John G., Hoyer, J. Steen, Lin, Andy, Liu, Suxing, Lizárraga, César, Lorence, Argelia, Miller, Michael, Platon, Eric, Tessman, Monica, Sax, Tony
Publikováno v:
PeerJ; 2017, p1-23, 23p