Longitudinal, label-free, high-resolution imaging of glioblastoma spheroid response to therapy: a translational tool for preclinical evaluation of chemotherapy, radiation, and immunotherapy

Glioblastoma (GBM) is an aggressive brain tumor with limited treatment options and poor patient survival, underscoring the need for novel, to our knowledge, therapeutic strategies and improved preclinical models. Patient-derived tumor spheroids (PDTSs) offer a physiologically relevant <i>in vitro</i> platform for evaluating treatments such as chimeric antigen receptor (CAR) T cell therapy, chemotherapy, and radiation. However, significant challenges remain in monitoring the complex three-dimensional (3D) microenvironment of the GBM PDTSs. Current imaging techniques used for this purpose are primarily endpoint analyses which lack critical real-time, non-invasive capabilities that ultimately preclude longitudinal and continuous monitoring. In this study, we introduce quantitative oblique back-illumination microscopy (qOBM) as a label-free and non-invasive imaging approach for longitudinal and continuous, high-resolution monitoring of GBM PDTSs during treatment. qOBM enables real-time visualization of cellular processes, including apoptosis, cell migration, and T cell-mediated cytotoxicity by leveraging tomographic refractive index-based quantitative imaging. We construct a compact qOBM system that fits within common incubators and apply it to study the effects of radiation, chemotherapy, and immunotherapy on three patient-derived GBM cell lines, extracting both static and dynamic image features over a 72 h treatment period. Additionally, we develop machine learning models to predict spheroid viability and cytotoxicity, demonstrating the potential of qOBM to enhance treatment evaluation. Our findings establish qOBM as a powerful tool for longitudinal and continuous spheroid monitoring, offering a non-destructive, high-resolution alternative to conventional endpoint assays and improving the evaluation of preclinical treatments for GBM.

Authors

Institutions

Publication Details

Journal
Optica
Published
2025-12-11
DOI
https://doi.org/10.1364/optica.574860
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal, label-free, high-resolution imaging of glioblastoma spheroid response to therapy: a translational tool for preclinical evaluation of chemotherapy, radiation, and immunotherapy

Dan Cappabianca, Leidong Mao, Lohitash Karumbaiah, Francisco E. Robles et al.
Optica
Digital Holography and Microscopy
article

Longitudinal, label-free, high-resolution imaging of glioblastoma spheroid response to therapy: a translational tool for preclinical evaluation of chemotherapy, radiation, and immunotherapy

Dan Cappabianca, Leidong Mao, Lohitash Karumbaiah, Francisco E. Robles, Caroline Filan, Krishanu Saha, Amin Davarzani, Zhenmin Li, Daniela Baez Collazos, Deniz Mamaghani
article en

Abstract

Glioblastoma (GBM) is an aggressive brain tumor with limited treatment options and poor patient survival, underscoring the need for novel, to our knowledge, therapeutic strategies and improved preclinical models. Patient-derived tumor spheroids (PDTSs) offer a physiologically relevant <i>in vitro</i> platform for evaluating treatments such as chimeric antigen receptor (CAR) T cell therapy, chemotherapy, and radiation. However, significant challenges remain in monitoring the complex three-dimensional (3D) microenvironment of the GBM PDTSs. Current imaging techniques used for this purpose are primarily endpoint analyses which lack critical real-time, non-invasive capabilities that ultimately preclude longitudinal and continuous monitoring. In this study, we introduce quantitative oblique back-illumination microscopy (qOBM) as a label-free and non-invasive imaging approach for longitudinal and continuous, high-resolution monitoring of GBM PDTSs during treatment. qOBM enables real-time visualization of cellular processes, including apoptosis, cell migration, and T cell-mediated cytotoxicity by leveraging tomographic refractive index-based quantitative imaging. We construct a compact qOBM system that fits within common incubators and apply it to study the effects of radiation, chemotherapy, and immunotherapy on three patient-derived GBM cell lines, extracting both static and dynamic image features over a 72 h treatment period. Additionally, we develop machine learning models to predict spheroid viability and cytotoxicity, demonstrating the potential of qOBM to enhance treatment evaluation. Our findings establish qOBM as a powerful tool for longitudinal and continuous spheroid monitoring, offering a non-destructive, high-resolution alternative to conventional endpoint assays and improving the evaluation of preclinical treatments for GBM.

OpticaVol. 13(2)
Georgia Institute of Technology (US), University of Wisconsin–Madison (US), The Wallace H. Coulter Department of Biomedical Engineering (US)
Openalex Percentile: Top 68%
Digital Holography and Microscopy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.