X. Intes

Fluorescence Lifetime Imaging for Quantification of Targeted Drug Delivery in Varying Tumor Microenvironments

This study uses fluorescence lifetime imaging to quantify TZM-HER2 binding and distribution in tumors with varying microenvironments, showing differences in drug delivery efficacy between cancer types.

in vivo quantitative FRET small animal imaging: intensity versus lifetime-based FRET

This paper compares intensity-based and fluorescence lifetime-based FRET methods for in vivo small animal imaging, showing that lifetime-based FRET is more efficient and accurate for quantifying drug-target engagement.

Characterization of fluorescence lifetime of organic fluorophores for molecular imaging in the SWIR window

The paper characterizes the brightness and fluorescence lifetime of SWIR fluorophores and compares them to NIR probes, demonstrating the feasibility of lifetime multiplexing in the SWIR window.

In vitro and in vivo NIR Fluorescence Lifetime Imaging with a time-gated SPAD camera

This study demonstrates the use of a time-gated SPAD camera for in vitro and in vivo NIR fluorescence lifetime imaging, showing its effectiveness in monitoring molecular events in tumor xenografts.

Accelerating Monte Carlo modeling of structured-light based diffuse optical imaging via "photon sharing"

This paper introduces an efficient Monte Carlo method for simulating spatially modulated light transport in 3D domains, achieving significant speedups in both forward and inverse problems.

Spectral and lifetime fluorescence unmixing via deep learning

This paper introduces UNMIX-ME, a deep learning method for fluorescence unmixing that combines spectral and temporal data to improve quantification of fluorescent species in biological samples.

Deep Learning Enhanced Hyperspectral Fluorescence Lifetime Imaging

This paper introduces a deep learning framework for fast hyperspectral fluorescence lifetime imaging, achieving rapid acquisition and processing without training data.

Multiplexed Non-invasive in vivo Imaging to Assess Metabolism and Receptor Engagement in Tumor Xenografts

This paper develops a multiplexed imaging method to simultaneously assess tumor metabolism and receptor engagement in vivo, revealing an inverse relationship between metabolic activity and drug delivery efficacy.

High-Resolution Tomographic Analysis of in vitro 3D Glioblastoma Tumor Model under Long-Term Drug Treatment

This paper develops an in vitro 3D GBM model and a mesoscopic imaging system to monitor tumor growth and drug response over 70 days.

Ultra-fast fit-free analysis of complex fluorescence lifetime imaging via deep learning

This paper introduces FLI-Net, a deep learning model that enables ultra-fast, fit-free analysis of fluorescence lifetime imaging data across multiple spectral ranges and acquisition technologies.

In vitro and in vivo phasor analysis of stoichiometry and pharmacokinetics using short lifetime near-infrared dyes and time-gated imaging

The paper introduces a method using phasor analysis and NIR dyes to quantify fluorescence lifetime and stoichiometry in vitro and in vivo, demonstrating its application to FRET and pharmacokinetics studies.

Quantitative Imaging of Receptor-Ligand Engagement in Intact Live Animals

This study develops MFLI-FRET to quantify receptor-ligand engagement in live animals, showing it correlates with intracellular ligand binding rather than ex vivo receptor expression.