Quantitative performance characterization of three-dimensional noncontact fluorescence molecular tomography

Favicchio, Rosy; Psycharakis, Stelios G.; Shi, Kai; Bartsch, Dušan; Mamalaki, Clio; Papamatheakis, Joseph; Ripoll, Jorge; Zacharakis, Giannis

doi:10.1117/1.jbo.21.2.026009

Cited by 6 publications

(5 citation statements)

References 33 publications

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“…The unknown in this study is perceived as composite value of x(r) = C(r) * (r). By knowing the extinction coefficient and quantum yield of the fluorophore, one can extract the exact concentration (38). For this paper, it is sufficient to get relative distribution, x(r).…”

Section: Data Acquisitionmentioning

confidence: 99%

High-resolution tomographic analysis of in vitro 3D glioblastoma tumor model under long-term drug treatment

et al. 2020

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Glioblastoma multiforme (GBM) is a lethal type of brain tumor that often develop therapeutic resistance over months of chemotherapy cycles. Recently, 3D GBM models were developed to facilitate evaluation of drug treatment before undergoing expensive animal studies. However, for long-term evaluation of therapeutic efficacy, novel approaches for GBM tissue construction are still needed. Moreover, there is still a need to develop fast and sensitive imaging methods for the noninvasive assessment of this 3D constructs and their response to drug treatment. Here, we report on the development of an integrated platform that enable generating (i) an in vitro 3D GBM model with perfused vascular channels that allows long-term culture and drug delivery and (ii) a 3D imaging modality that enables researchers to noninvasively assess longitudinal fluorescent signals over the whole in vitro model.

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Section: Data Acquisitionmentioning

confidence: 99%

High-resolution tomographic analysis of in vitro 3D glioblastoma tumor model under long-term drug treatment

et al. 2020

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“…FMT is based on the 3D reconstruction of the fluorophore distribution in tissues based on light measurements collected at the tissue borders. In recent years, a growing number of studies that were focused on advanced reconstruction methods and single-pixel detection were published [103,104,105,106]. This technique is similar to that of X-ray computed tomography (CT, μCT) and is also frequently combined with this method [24].…”

Section: Fluorescence-based Tomography and Future Prospectsmentioning

confidence: 99%

Fluorescence Imaging as a Tool in Preclinical Evaluation of Polymer-Based Nano-DDS Systems Intended for Cancer Treatment

2019

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Targeted drug delivery using nano-sized carrier systems with targeting functions to malignant and inflammatory tissue and tailored controlled drug release inside targeted tissues or cells has been and is still intensively studied. A detailed understanding of the correlation between the pharmacokinetic properties and structure of the nano-sized carrier is crucial for the successful transition of targeted drug delivery nanomedicines into clinical practice. In preclinical research in particular, fluorescence imaging has become one of the most commonly used powerful imaging tools. Increasing numbers of suitable fluorescent dyes that are excitable in the visible to near-infrared (NIR) wavelengths of the spectrum and the non-invasive nature of the method have significantly expanded the applicability of fluorescence imaging. This chapter summarizes non-invasive fluorescence-based imaging methods and discusses their potential advantages and limitations in the field of drug delivery, especially in anticancer therapy. This chapter focuses on fluorescent imaging from the cellular level up to the highly sophisticated three-dimensional imaging modality at a systemic level. Moreover, we describe the possibility for simultaneous treatment and imaging using fluorescence theranostics and the combination of different imaging techniques, e.g., fluorescence imaging with computed tomography.

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“…The unknown in this study perceived as composite value of ( ) = ( ) * ( ). By knowing the extinction coefficient and quantum yield of the fluorophore, one can extract the exact concentration [31]. For this paper, it is sufficed to get relative distribution, ( ).…”

Section: Reconstruction Algorithmmentioning

confidence: 99%

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

Ozturk

Lee

Zou

et al. 2019

Preprint

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Glioblastoma multiforme (GBM) is an extremely lethal type of brain tumor as it frequently develops therapeutic resistance over months of chemotherapy cycles. Hence, there is a critical need to provide relevant biological systems to guide the development of new potent personalized drugs but also efficient methodologies that enable personalized prediction of various therapeutic regimens for enhanced patient prognosis. Towards this goal, we report on the development of i) an appropriate in vitro model that mimics the 3D tumor microenvironment and ii) a companion imaging modality that enables to assess this in vitro model in its entirety. More precisely, we developed an integrated platform of bio-printing in vitro 3D GBM models and mesoscopic imaging to monitor tumor growth and invasion along with long-term drug treatment. The newly-developed in vitro 3D model contains tumor spheroids made of patient-derived glioma stem cells with a fluorescent reporter and vascular channels for drug perfusion. The imaging of these thick tissue constructs was performed using our second-Generation Mesoscopic Fluorescence Molecular Tomography (2GMFMT) imaging system which delivered 3D reconstruction of the fluidic channels and the GBM spheroids over the course of pre-and post-drug treatment (up to 70 days). The 2D measurements collected via 2GMFMT was comparable to existing imaging modalities, but 2GMFMT enabled non-sacrificial volumetric monitoring that provided a unique insgiht into the GBM spheroid growth and drug response. Overall, our integrated platform provides customizable in vitro model systems combined with an efficient long-term non-sacrificial imaging for the volumetric change of tumor mass, thus has a great potential in profoundly affecting the drug pipeline for a vast array of pathologies as well as for guiding personalized therapeutic regimen. Cell culture and hydrogel preparation. Human umbilical vein endothelial cells (HUVECs; mCherry-transfected)were cultured at 37°C in 5% CO2 in EGM ® -2 Endothelial Cell Growth Medium-2 (Lonza). Patient-derived glioblastoma multiform (GBM; EGFP-transfected) cells were cultured on laminin-coated tissue culture flask in NeuroCult™ NS-A proliferation media for human (STEMCELL Technologies). Culture media was changed every two days. For the cell seeding on bio-printed channels, HUVECs were harvested using 0.25% Trypsin-EDTA, and then maintained as cell suspensions on ice until ready to be seeded. To create GBM spheroid, 1,000 -5,000 GBM cells were plated into Corning® Spheroid Microplate, then cultured for 7-14 days until the spheroids reach the desired diameter (> 400µm). Collagen hydrogel precursor (3.0 mg/mL; Rat tail, type I; Corning) was used as a main scaffold material for bio-printing. Gelatin from porcine skin (10%; Sigma-Aldrich) was used as a sacrificial material to create fluidic channels.Bio-printing of vascular-GBM model. Two fluidic vascular channels were created on top of printed collagen layers using 10% gelatin as a sacrificial material (Fig. 1 Bio-printing, step 1-2) [8...

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Quantitative performance characterization of three-dimensional noncontact fluorescence molecular tomography

Cited by 6 publications

References 33 publications

High-resolution tomographic analysis of in vitro 3D glioblastoma tumor model under long-term drug treatment

High-resolution tomographic analysis of in vitro 3D glioblastoma tumor model under long-term drug treatment

Fluorescence Imaging as a Tool in Preclinical Evaluation of Polymer-Based Nano-DDS Systems Intended for Cancer Treatment

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

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