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Visit USCOLabel-Free Phenotypic Detection, Diagnosis, and Characterization of Influenza Virus Using AFM, Raman Spectroscopy (TERS), and Machine Learning Classification
Text Registration
Copyright Title
Label-Free Phenotypic Detection, Diagnosis, and Characterization of Influenza Virus Using AFM, Raman Spectroscopy (TERS), and Machine Learning Classification
Status
Published
on 9 Jun 2021
Year of Creation
2021
Copyright Claimant
Micaela Trexler
Registration Number
TX0008988658
on 9 Jun 2021Copyright Summary
The U.S. Copyright record (Registration Number: TX0008988658) dated 9 Jun 2021, pertains to an electronic file (eService) titled "Label-Free Phenotypic Detection, Diagnosis, and Characterization of Influenza Virus Using AFM, Raman Spectroscopy (TERS), and Machine Learning Classification" created in 2021. The copyright holder is Micaela Trexler, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Micaela Trexler.
Application Details
Registration Number
TX0008988658
Registration Date
6/9/2021
Year of Creation
2021
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States
Notes
Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com
Statements
Application Title Statement: Label-Free Phenotypic Detection, Diagnosis, and Characterization of Influenza Virus Using AFM, Raman Spectroscopy (TERS), and Machine Learning Classification
Author Statement: Micaela Trexler Citizenship: not known Authorship: text
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