CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume PC12834 > Article
Presentation
13 March 2024 Transformer based deep learning model for fluorescence lifetime parameters estimation using pixelwise instrument response function
Ismail Erbas, Vikas Pandey, Navid Ibtehaj Nizam, Nanxue Yuan, Xavier Intes
Author Affiliations +
Proceedings Volume PC12834, Multimodal Biomedical Imaging XIX; PC128340C (2024) https://doi.org/10.1117/12.3001941
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Fluorescence lifetime (FLI) parameter estimation of a fluorescence inclusion inside a tissue remains challenging without due correction from Instrument Response function (IRF). Mathematical models, non-linear least-square-fit (‘reconvolution’), center-of-mass (CMM), and Phasor plot methods use IRF correction, however, recent machine learning (ML) models omit correction learning from IRF and often fails in in-vivo samples. Here, we use a transformer-ML model (MFLI-NET) which also takes temporal-point spread function (TPSF) and pixelwise IRF inputs to provide the offset correction due to depth. The MFLI-NET model showed high accuracy and robustness when tested with 1- and 2- exponential in vitro and in-vivo fluorescence samples.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Ismail Erbas, Vikas Pandey, Navid Ibtehaj Nizam, Nanxue Yuan, and Xavier Intes "Transformer based deep learning model for fluorescence lifetime parameters estimation using pixelwise instrument response function", Proc. SPIE PC12834, Multimodal Biomedical Imaging XIX, PC128340C (13 March 2024); https://doi.org/10.1117/12.3001941
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 PRESENTATION
WATCH
PRESENTATION SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
KEYWORDS
Fluorescence
Deep learning
Equipment
Instrument modeling
Statistical modeling
Transformers
In vivo imaging
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top