Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Riana Gaifulina

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Diagnostics (Basel, Switzerland)|June 24, 2022
Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent LiteratureNathan Blake, Riana Gaifulina, Lewis D Griffin, et al.
International Journal of Experimental Pathology|September 2, 2016
Label-free Raman spectroscopic imaging to extract morphological and chemical information from a formalin-fixed, paraffin-embedded rat colon tissue sectionRiana Gaifulina, Andrew Thomas Maher, Catherine Kendall, et al.
Cancers|March 29, 2023
Deep Learning Applied to Raman Spectroscopy for the Detection of Microsatellite Instability/MMR Deficient Colorectal CancerNathan Blake, Riana Gaifulina, Lewis D Griffin, et al.
The Analyst|January 3, 2020
Rapid and complete paraffin removal from human tissue sections delivers enhanced Raman spectroscopic and histopathological analysisRiana Gaifulina, Daren J Caruana, Dahmane Oukrif, et al.
Journal of Biophotonics|July 13, 2017
Developing Raman spectroscopy as a diagnostic tool for label-free antigen detectionAaran T Lewis, Riana Gaifulina, Naomi J Guppy, et al.
Journal of Raman Spectroscopy : JRS|February 7, 2017
Mirrored stainless steel substrate provides improved signal for Raman spectroscopy of tissue and cellsAaran T Lewis, Riana Gaifulina, Martin Isabelle, et al.
BJC Reports|November 8, 2024
System transferability of Raman-based oesophageal tissue classification using modern machine learning to support multi-centre clinical diagnosticsNathan Blake, Riana Gaifulina, Martin Isabelle, et al.
Nature Medicine|September 8, 2020
Engineering transplantable jejunal mucosal grafts using patient-derived organoids from children with intestinal failureLaween Meran, Isobel Massie, Sara Campinoti, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Diagnostics (Basel, Switzerland)|June 24, 2022
Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent LiteratureNathan Blake, Riana Gaifulina, Lewis D Griffin, et al.
International Journal of Experimental Pathology|September 2, 2016
Label-free Raman spectroscopic imaging to extract morphological and chemical information from a formalin-fixed, paraffin-embedded rat colon tissue sectionRiana Gaifulina, Andrew Thomas Maher, Catherine Kendall, et al.
Cancers|March 29, 2023
Deep Learning Applied to Raman Spectroscopy for the Detection of Microsatellite Instability/MMR Deficient Colorectal CancerNathan Blake, Riana Gaifulina, Lewis D Griffin, et al.
The Analyst|January 3, 2020
Rapid and complete paraffin removal from human tissue sections delivers enhanced Raman spectroscopic and histopathological analysisRiana Gaifulina, Daren J Caruana, Dahmane Oukrif, et al.
Journal of Biophotonics|July 13, 2017
Developing Raman spectroscopy as a diagnostic tool for label-free antigen detectionAaran T Lewis, Riana Gaifulina, Naomi J Guppy, et al.
Journal of Raman Spectroscopy : JRS|February 7, 2017
Mirrored stainless steel substrate provides improved signal for Raman spectroscopy of tissue and cellsAaran T Lewis, Riana Gaifulina, Martin Isabelle, et al.
BJC Reports|November 8, 2024
System transferability of Raman-based oesophageal tissue classification using modern machine learning to support multi-centre clinical diagnosticsNathan Blake, Riana Gaifulina, Martin Isabelle, et al.
Nature Medicine|September 8, 2020
Engineering transplantable jejunal mucosal grafts using patient-derived organoids from children with intestinal failureLaween Meran, Isobel Massie, Sara Campinoti, et al.
Pageof 1