Automation of Counting and Analysis of Biological Samples through Computer Vision and Telecommunication Technologies-Reference-Cited by-同舟云学术

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Automation of Counting and Analysis of Biological Samples through Computer Vision and Telecommunication Technologies

Published:2023-11-08 Issue: Volume: Page:
ISSN:
Container-title:2023 South American Conference On Visible Light Communications (SACVLC)
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Author:

Reveco Florencia¹,Soto Ismael¹,Zamorano-Illanes Raul¹,Garcia Veronica²,Kern Werther³,Zabala-Blanco David⁴,Gutierrez Sebastian⁵

Affiliation:

1. Santiago de Chile University,Department of Electrical Engineering,Santiago,Chile

2. Santiago de Chile University,Department of Food Science and Technology,Santiago,Chile

3. Santiago de Chile University,Multidisciplinary Research Center for Telecommunications Technologies,Santiago,Chile

4. Universidad Católica del Maule,Facultad de Ingeniería,Talca,Chile

5. Unviersidad Autónoma de Chile,Facultad de Ingeniería,Santiago,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10347556/10347539/10347591.pdf?arnumber=10347591

Reference21 articles.

1. Sistemas de microscopía virtual: análisis y perspectivas;Romero,2011

2. Identification and quantification of lactic acid bacteria by real-time pcr;Phandanouvong,2010

3. Validación de PCR convencional para detectar E. coli O157

4. FSO/RF-FSO Radar Perform Research over Fisher-Snedecor Fading Theory for 5G Mobile Application

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