Prof. Jonathan P. Celli Profile

Prof. Jonathan P. Celli

Professor at Univ of Massachusetts Boston

SPIE Involvement:

Conference Program Committee | Author

Area of Expertise:

optical imaging , photodynamic therapy , microrheology , image analysis , rheology

Profile Summary

Jonathan Celli is a Professor of Physics at the University of Massachusetts Boston and holds an appointment as a Research Scientist at the Wellman Center for Photomedicine at Massachusetts General Hospital. His research group at UMB develops clinical technologies for image-guided photodynamic therapy (PDT) of oral and pancreatic cancers. His research team also develops and uses a variety of bioengineered 3D tumor models for basic and translational studies examining the role of tumor microenvironment and biophysical properties of tumors as determinants of response to treatment. Prior to joining UMass Prof Celli was an Instructor at Harvard Medical School where he received a K99/R00 career development award from NIH/NCI.

Publications (40)

Proceedings Article | 13 March 2024 Presentation

Presentation

Verteporfin photodynamic therapy enhances therapeutic delivery of a tumor suppressor microRNA to pancreatic cancer cells

Vida Karimnia, Shakir Khan, Frank Slack, Jonathan Celli

Proceedings Volume PC12823, PC128230G (2024) https://doi.org/10.1117/12.3004781

KEYWORDS: Photodynamic therapy, Tumors, Pancreatic cancer, Medicine, Nanoparticles, 3D modeling, Tissues, Chemotherapy, 3D acquisition

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Proceedings Article | 13 March 2024 Presentation + Paper

Presentation + Paper

Preclinical evaluation of a handheld theranostic intraoral device for image-guided PDT treatment of pre-malignant and malignant oral lesions

Shakir Khan, Bofan Song, Sergio Farias, Rongguang Liang, Tayyaba Hasan, Jonathan Celli

Proceedings Volume 12823, 1282302 (2024) https://doi.org/10.1117/12.3001825

KEYWORDS: Photodynamic therapy, Tumors, Fluorescence, Tissues, Photobleaching, Fluorescence imaging, Imaging devices, Cancer, Cameras, Mouse models

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Significance: Oral squamous cell carcinoma (OSCC) has an exceptionally high rate of incidence and mortality in India, with 15 cases per 100,000 people and over 70,000 deaths annually. The problem is exacerbated due to insufficient medical infrastructure for widescale screening and oncology care, particularly in rural regions. New technologies are urgently needed to detect oral cancer and provide timely treatment at the point of care. This work draws upon previous development and clinical validation of low-cost hardware for photodynamic therapy (PDT) treatment of oral lesions combined with an intraoral probe for cancer screening, incorporated here into an integrated theranostic device for image-guided PDT. Aim: This study aimed to validate technical performance of a novel hand-held smartphone-coupled intraoral device designed for simultaneous imaging and photodynamic therapy (PDT) of oral lesions. The imaging and PDT light delivery capabilities of the handheld system were evaluated using tissue phantoms containing protoporphyrin IX (PpIX) and a mouse model of OSCC photosensitized using 5-aminolevulinic acid (ALA)-induced PpIX. Approach: The probe’s built-in multi-channel fluorescence and polarized white light imaging capabilities were evaluated using tissue phantoms with TiO₂ and controlled PpIX concentrations. In-vivo testing was performed using mice with subcutaneous TR146 OSCC implants before and after administering ALA, and again to assess photobleaching after light delivery (a total of 100J/cm² at 635nm from the integrated diode laser). Results: Quantification of fluorescence images generated using the device showed that the PpIX signal scaled linearly with concentration, and the extent of photobleaching increased with increasing PDT dose as expected. In murine xenografts, PDT treatment delivered through the intraoral probe reduced tumor volume significantly in comparison to untreated control animals. Conclusion: Our findings demonstrate the effectiveness of a low-cost handheld device for simultaneous quantitative imaging of PpIX fluorescence and image-guided PDT in vivo. The integration of intraoral imaging and image-guided treatment into the same handheld device paves the way for a streamlined approach to cancer screening and early intervention with PDT at the point of care.

SPIE Journal Paper | 21 July 2023 Open Access

Open Access

Clinical assessment of a low-cost, hand-held, smartphone-attached intraoral imaging probe for 5-aminolevulinic acid photodynamic therapy monitoring and guidance

Shakir Khan, Bofan Song, Srivalleesha Mallidi, Shaobai Li, Hui Liu, M. A. Bilal Hussain, Shaista Siddiqui, Amjad P. Khan, Kafil Akhtar, Shahid Ali Siddiqui, Syed Abrar Hasan, Colin Hopper, Stephen G. Bown, Rongguang Liang, Tayyaba Hasan, Jonathan P. Celli

JBO, Vol. 28, Issue 08, 082809, (July 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.8.082809

KEYWORDS: Photodynamic therapy, Tissues, Image segmentation, Cancer, Oncology, Biomedical optics, Tumors, Imaging systems, Light emitting diodes, Collagen

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SignificanceIndia has one of the highest rates of oral squamous cell carcinoma (OSCC) in the world, with an incidence of 15 per 100,000 and more than 70,000 deaths per year. The problem is exacerbated by a lack of medical infrastructure and routine screening, especially in rural areas. New technologies for oral cancer detection and timely treatment at the point of care are urgently needed.AimOur study aimed to use a hand-held smartphone-coupled intraoral imaging device, previously investigated for autofluorescence (auto-FL) diagnostics adapted here for treatment guidance and monitoring photodynamic therapy (PDT) using 5-aminolevulinic acid (ALA)-induced protoporphyrin IX (PpIX) fluorescence (FL).ApproachA total of 12 patients with 14 buccal mucosal lesions having moderately/well-differentiated micro-invasive OSCC lesions (<2 cm diameter and <5 mm depth) were systemically (in oral solution) administered three doses of 20 mg / kg ALA (total 60 mg / kg). Lesion site PpIX and auto-FL were imaged using the multichannel FL and polarized white-light oral cancer imaging probe before/after ALA administration and after light delivery (fractionated, total 100 J / cm2 of 635 nm red LED light).ResultsThe handheld device was conducive for access to lesion site images in the oral cavity. Segmentation of ratiometric images in which PpIX FL is mapped relative to auto-FL enabled improved demarcation of lesion boundaries relative to PpIX alone. A relative FL (R-value) threshold of 1.4 was found to segment lesion site PpIX production among the patients with mild to severe dysplasia malignancy. The segmented lesion size is well correlated with ultrasound findings. Lesions for which R-value was >1.65 at the time of treatment were associated with successful outcomes.ConclusionThese results indicate the utility of a low-cost, handheld intraoral imaging probe for image-guided PDT and treatment monitoring while also laying the groundwork for an integrated approach, combining cancer screening and treatment with the same hardware.

Proceedings Article | 17 March 2023 Presentation

Presentation

Integrating optical diagnostics and PDT: image guided treatment of oral lesions using a handheld multichannel fluorescence probe

Jonathan Celli, Shakir Khan, Rongguang Liang, Tayyaba Hasan, Bilal Hussain, Shahid Ali Siddiqui, Syed Hasan

Proceedings Volume PC12359, PC1235906 (2023) https://doi.org/10.1117/12.2672304

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Proceedings Article | 17 March 2023 Presentation

Presentation

Drug resistant cancer cells exhibit increased protoporphyrin IX accumulation and improved PDT response following 5-aminolevulinic acid photosensitization

Yiran Liu, Michael Anderson, Sally Mensah, Sergio Farias, Maryam Labaf, Kourosh Zarringhalam, Shakir Khan, Tayyaba Hasan, Jonathan Celli

Proceedings Volume PC12359, PC1235902 (2023) https://doi.org/10.1117/12.2651500

KEYWORDS: Photodynamic therapy, Cancer, Tissues, Tumors, Surgery, Resistance, Luminescence, Biology

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Proceedings Article | 14 March 2023 Presentation + Paper

Presentation + Paper

Development of photodynamic and RNA medicine combination therapies for pancreatic ductal adenocarcinoma

Vida Karimnia, Frank Slack, Jonathan Celli

Proceedings Volume 12359, 1235902 (2023) https://doi.org/10.1117/12.2650744

KEYWORDS: Photodynamic therapy, Medicine, Therapeutics, Tumors, Diseases and disorders, Tissues, Nanoparticles, Chemotherapy, Radiotherapy, Pancreatic cancer

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Proceedings Article | 7 March 2022 Presentation

Presentation

Photodynamic therapy as a cancer treatment for global health: insights from development of a low-cost image-guided PDT system for treatment of early oral cancer in India

Jonathan Celli, Tayyaba Hasan

Proceedings Volume PC11940, (2022) https://doi.org/10.1117/12.2612091

KEYWORDS: Cancer, Photodynamic therapy, Oncology, Light emitting diodes, Imaging systems, Tumors, Microcontrollers, Luminescence, Light sources, Light

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Proceedings Article | 4 March 2022 Presentation + Paper

Presentation + Paper

Evaluation of photodynamic stromal depletion (PSD) to enhance nanoparticle delivery in 3D models of pancreatic ductal adenocarcinoma (PDAC)

V. Karimnia, L. Huang, F. Slack, S. Bhatia, J. Celli

Proceedings Volume 11940, 1194005 (2022) https://doi.org/10.1117/12.2610411

KEYWORDS: Pancreatic cancer, Photodynamic therapy, Tumors, 3D modeling, Nanoparticles, Particles, MATLAB, Cancer, Resistance

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Proceedings Article | 4 March 2022 Presentation + Paper

Presentation + Paper

Clinical assessment of a low-cost, hand-held, smartphone-attached intraoral imaging probe for ALA PDT monitoring and guidance

Shakir Khan, Bofan Song, Srivalleesha Mallidi, Shaobai Li, Hui Liu, M. A. Bilal Hussain, Mayra BaptistaLopesTeix, Shaista Siddiqui, Amjad Khan, Kafil Akhtar, Shahid Ali Siddiqui, Syed Abrar Hasan, Colin Hopper, Stephen Bown, Rongguang Liang, Tayyaba Hasan, Jonathan Celli

Proceedings Volume 11940, 1194004 (2022) https://doi.org/10.1117/12.2609956

KEYWORDS: Photodynamic therapy, Cancer, Image segmentation, Tissues, Oncology, Light emitting diodes, Imaging systems, Visualization

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SPIE Journal Paper | 1 May 2020 Open Access

Open Access

Special Section Guest Editorial: Photodynamic Therapy

Kimberley Samkoe, Jonathan Celli, Timothy Zhu

JBO, Vol. 25, Issue 06, 063801, (May 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.6.063801

KEYWORDS: Photodynamic therapy, Luminescence, Medicine, Physics, Radiation oncology, Tissue optics, Oxygen, In vivo imaging, Quenching (fluorescence), Photosensitizer targeting

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SPIE Journal Paper | 11 April 2020 Open Access

Open Access

Clinical evaluation of smartphone-based fluorescence imaging for guidance and monitoring of ALA-PDT treatment of early oral cancer

Shakir Khan, M. A. Bilal Hussain, Amjad Khan, Hui Liu, Shaista Siddiqui, Srivalleesha Mallidi, Paola Alacron, Liam Daly, Grant Rudd, Filip Cuckov, Colin Hopper, Stephen Bown, Kafil Akhtar, Syed Abrar Hasan, Shahid Ali Siddiqui, Tayyaba Hasan, Jonathan Celli

JBO, Vol. 25, Issue 06, 063813, (April 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.6.063813

KEYWORDS: Luminescence, Image segmentation, Photodynamic therapy, RGB color model, Cancer, Oncology, Imaging devices, Image analysis, Statistical analysis, Phototherapy

Read Abstract +

Significance: India has one of the highest rates of oral cancer incidence in the world, accounting for 30% of reported cancers. In rural areas, a lack of adequate medical infrastructure contributes to unchecked disease progression and dismal mortality rates. Photodynamic therapy (PDT) has emerged as an effective modality with potential for treating early stage disease in resource-limited settings, while photosensitizer fluorescence can be leveraged for treatment guidance. Aim: Our aim was to assess the capability of a simple smartphone-based device for imaging 5-aminolevulinic acid (ALA)-induced protoporphyrin IX (PpIX) fluorescence for treatment guidance and monitoring as part of an ongoing clinical study evaluating low-cost technology for ALA-based PDT treatment of early oral cancer. Approach: A total of 29 subjects with <2 cm diameter moderately/well-differentiated microinvasive ( < 5 mm depth) oral squamous cell carcinoma lesions (33 lesions total, mean area ∼1.23 cm2) were administered 60 mg / kg ALA in oral solution and imaged before and after delivery of 100 J / cm2 total light dose to the lesion surface. Smartphone-based fluorescence and white light (WL) images were analyzed and compared with ultrasound (US) imaging of the same lesions. Results: We present a comparative analysis of pre- and post-treatment fluorescence, WL, and US images of oral lesions. There was no significant difference in the distribution of lesion widths measured by fluorescence and US (mean widths of 14.5 and 15.3 mm, respectively) and linear regression shows good agreement (R2 = 0.91). In general, PpIX fluorescence images obtained prior to therapeutic light delivery are able to resolve lesion margins while dramatic photobleaching (∼42 % ) is visible post-treatment. Segmentation of the photobleached area confirms the boundaries of the irradiated zone. Conclusions: A simple smartphone-based approach for imaging oral lesions is shown to agree in most cases with US, suggesting that this approach may be a useful tool to aid in PDT treatment guidance and monitoring photobleaching as part of a low-cost platform for intraoral PDT.

Proceedings Article | 14 August 2019 Presentation

Presentation

Evaluation of photomedicine and anti-microRNA combination therapies in 3D cell culture models of pancreatic ductal adenocarcinoma (Conference Presentation)

Ljubica Petrovic, Tomas Materdey, Eric Struth, Maud-Emmanuelle Gilles, Meirav Segal, Frank Slack, Jonathan Celli

Proceedings Volume 11070, 110705U (2019) https://doi.org/10.1117/12.2526199

KEYWORDS: 3D modeling, Therapeutics, Photodynamic therapy, Photomedicine, 3D acquisition, Tumors, In vitro testing, Clinical trials, Tissues, Pancreas

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Proceedings Article | 14 August 2019 Presentation

Presentation

Photodynamic therapy as an alternative treatment modality for early stage buccal mucosa malignancy (Conference Presentation)

Shahid Ali Siddiqui, M. A. Bilal Hussain, Amjad P. Khan, Kafil Akhtar, Shaista Siddiqui, Shakir Khan, Hui Liu, Srivalleesha Mallidi, Grant Rudd, Liam Daly, Paola L. Alacron, Filip Cuckov, Satish C. Sharma, Ibne Ahmed, Stephen G. Bown, Colin Hopper, Jonathan P. Celli, Syed Abrar Hasan, Tayyaba Hasan

Proceedings Volume 11070, 1107053 (2019) https://doi.org/10.1117/12.2525686

KEYWORDS: Photodynamic therapy, Cancer, Oncology, Surgery, Radiotherapy, Light emitting diodes, Light sources, 3D image processing, Light, Luminescence

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Proceedings Article | 14 August 2019 Presentation

Presentation

Quantum dot light emitting diodes (QLEDs) as low-cost PDT light sources (Conference Presentation)

Hao Chen, Peter Palomaki, Juan He, Raymond Lanzafame, Istvan Stadler, Hamid El-Hamidi, Hui Liu, Jonathan Celli, Michael Hamblin, Yingying Huang, Gal Shafirstein, Ho-Kyoon Chung, Shin-Tson Wu, Yajie Dong

Proceedings Volume 11070, 1107056 (2019) https://doi.org/10.1117/12.2525829

KEYWORDS: Photodynamic therapy, Light sources, Quantum dot light emitting diodes, Light emitting diodes, Cancer, Oncology, High power lasers, Laser therapeutics, Light-emitting diode therapy, Light

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Proceedings Article | 14 August 2019 Presentation

Presentation

Interpretation of ultrasonography indicators of photodynamic therapy treatment response in early malignancy of buccal mucosa (Conference Presentation)

Shaista Siddiqui, Ibne Ahmed, Kafil Akhtar, Shahid Ali Siddiqui, M. A. Bilal Hussain, Shakir Khan, Srivalleesha Mallidi, Amjad P. Khan, Hui Liu, Filip Cuckov, Grant Rudd, Liam Daly, Colin Hopper, Stephen G. Bown, Satish C. Sharma, Syed Abrar Hasan, Jonathan P. Celli, Tayyaba Hasan, Paola Leon

Proceedings Volume 11070, 110703Y (2019) https://doi.org/10.1117/12.2525982

KEYWORDS: Photodynamic therapy, Ultrasonography, Biopsy, Cancer, Biological research, Light emitting diodes, Light sources, Inflammation

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Proceedings Article | 14 August 2019 Presentation

Presentation

Design and evaluation of applicators for photodynamic therapy of oral cavity tumors in low resource settings (Conference Presentation)

Amjad P. Khan, Srivalleesha Mallidi, Hui Liu, Liam Daly, Grant Rudd, M. A. Bilal Hussain, Shakir Khan, Shahid A. Siddiqui, Syed A. Hasan, Kafil Akhtar, Shaista Siddiqui, Meredith August, Maria Troulis, Filip Cuckov, Jonathan P. Celli, Tayyaba Hasan

Proceedings Volume 11070, 11070BH (2019) https://doi.org/10.1117/12.2525860

KEYWORDS: Photodynamic therapy, Cancer, Tumors, Therapeutics, Surgery, Oncology, Phototherapy, Biochemistry, Light sources, 3D acquisition

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Proceedings Article | 12 August 2019 Presentation + Paper

Presentation + Paper

Clinical evaluation of smartphone-based fluorescence imaging for guidance and monitoring of ALA PDT

Shakir Khan, M. A. Bilal Hussain, Amjad Khan, Hui Liu, Shaista Siddiqui, Srivalleesha Mallidi, Paola Leon, Liam Daly, Grant Rudd, Filip Cuckov, Colin Hopper, Stephen Bown, Shahid Siddiqui, Jonathan Celli, Tayyaba Hasan

Proceedings Volume 11070, 1107059 (2019) https://doi.org/10.1117/12.2526116

KEYWORDS: Luminescence, Photodynamic therapy, Cancer, Tissue optics, Image segmentation, Light emitting diodes, Imaging devices, Light, RGB color model, Phototherapy

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Proceedings Article | 5 March 2018 Presentation + Paper

Presentation + Paper

Cellular pH and PI3K signaling as determinants of Protoporphyrin IX conversion and ALA PDT response

Michael Anderson, Hamid El-Hamidi, Jonathan Celli

Proceedings Volume 10476, 104760R (2018) https://doi.org/10.1117/12.2283543

KEYWORDS: Photodynamic therapy, Tissues, Cancer, Oncology, Tumors, Light, Cell death, Control systems, Proteins, Biology

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Proceedings Article | 19 April 2017 Presentation

Presentation

PDT-based combinations in overcoming chemoresistance from stromal and heterotypic cellular communication (Conference Presentation)

Imran Rizvi, Anne-Laure Bulin, Sriram Anbil, Emma Briars, Daniela Vecchio, Jonathan Celli, Mans Broekgaarden, Tayyaba Hasan

Proceedings Volume 10047, 1004705 (2017) https://doi.org/10.1117/12.2252685

KEYWORDS: Tumors, 3D modeling, Photodynamic therapy, Cancer, Tumor growth modeling, Resistance, Ovarian cancer, Toxicity, Oncology, Image analysis

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Proceedings Article | 8 February 2017 Presentation + Paper

Presentation + Paper

Invasion-promoting extracellular matrix composition enhances photodynamic therapy response in 3D pancreatic cancer models

Gwendolyn Cramer, Hamid El-Hamidi, Jonathan Celli

Proceedings Volume 10047, 100470O (2017) https://doi.org/10.1117/12.2252983

KEYWORDS: Photodynamic therapy, Pancreatic cancer, Resistance, Therapeutics, 3D modeling, Tumors, Collagen, Tumor growth modeling, Proteins, Cancer, Oxygen, Control systems

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Proceedings Article | 26 April 2016 Presentation

Presentation

Adapting biomodulatory strategies for treatment in new contexts: pancreatic and oral cancers (Conference Presentation)

Sriram Anbil, Imran Rizvi, Amjad Khan, Jonathan Celli, Edward Maytin, Tayyaba Hasan

Proceedings Volume 9694, 96940M (2016) https://doi.org/10.1117/12.2213922

KEYWORDS: Photodynamic therapy, Cancer, Oncology, Mode conditioning cables, Tumors, 3D modeling, Pancreatic cancer, Tumor growth modeling, Resistance, Modulation

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Proceedings Article | 26 April 2016 Presentation

Presentation

Designing PDT-based combinations to overcome chemoresistance in heterocellular 3D tumor models (Conference Presentation)

Imran Rizvi, Emma Briars, Anne-Laure Bulin, Sriram Anbil, Daniela Vecchio, Ahmed Alkhateeb, William Hanna, Jonathan Celli, Tayyaba Hasan

Proceedings Volume 9694, 969404 (2016) https://doi.org/10.1117/12.2213436

KEYWORDS: 3D modeling, Tumors, Resistance, Photodynamic therapy, Tumor growth modeling, Photomedicine, Cancer, Oncology, Therapeutics, Toxicity

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Proceedings Article | 5 April 2016 Paper

Paper

Extracellular matrix composition and rigidity regulate invasive behavior and response to PDT in 3D pancreatic tumor models

Gwendolyn Cramer, Hamid El-Hamidi, Seyedehrojin Jafari, Dustin Jones, Jonathan Celli

Proceedings Volume 9694, 96940J (2016) https://doi.org/10.1117/12.2213843

KEYWORDS: Photodynamic therapy, 3D modeling, 3D image processing, 3D metrology, Particles, Tumors, Collagen, Resistance, Transplantation, Image segmentation

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Proceedings Article | 1 March 2016 Presentation + Paper

Presentation + Paper

Development of low-cost devices for image-guided photodynamic therapy treatment of oral cancer in global health settings

Hui Liu, Grant Rudd, Liam Daly, Joshua Hempstead, Yiran Liu, Amjad Khan, Srivalleesha Mallidi, Richard Thomas, Imran Rizvi, Stephen Arnason, Filip Cuckov, Tayyaba Hasan, Jonathan Celli

Proceedings Volume 9694, 96940C (2016) https://doi.org/10.1117/12.2212918

KEYWORDS: Photodynamic therapy, Cancer, Light emitting diodes, In vitro testing, 3D modeling, Prototyping, Light sources, Tumors, Switches, Lithium

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SPIE Journal Paper | 24 April 2015 Open Access

Open Access

In vivo evaluation of battery-operated light-emitting diode-based photodynamic therapy efficacy using tumor volume and biomarker expression as endpoints

Srivalleesha Mallidi, Zhiming Mai, Imran Rizvi, Joshua Hempstead, Stephen Arnason, Jonathan Celli, Tayyaba Hasan

JBO, Vol. 20, Issue 04, 048003, (April 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.4.048003

KEYWORDS: Tumors, Photodynamic therapy, Light sources, Light emitting diodes, Cancer, In vivo imaging, Tissues, Hypoxia, Luminescence, Laser sources

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Proceedings Article | 6 March 2015 Paper

Paper

Mapping dynamic mechanical remodeling in 3D tumor models via particle tracking microrheology

Dustin Jones, William Hanna, Jonathan Celli

Proceedings Volume 9327, 93270L (2015) https://doi.org/10.1117/12.2084282

KEYWORDS: 3D modeling, Tumors, Particles, Data modeling, Pancreatic cancer, Collagen, Video, Mechanics, Statistical analysis, MATLAB

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SPIE Journal Paper | 3 November 2014 Open Access

Open Access

Digital holographic microscopy for longitudinal volumetric imaging of growth and treatment response in three-dimensional tumor models

Yuyu Li, Ljubica Petrovic, Jeffrey La, Jonathan Celli, Chandra Yelleswarapu

JBO, Vol. 19, Issue 11, 116001, (November 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.11.116001

KEYWORDS: Tumors, Digital holography, 3D modeling, 3D image processing, Microscopy, Holography, Confocal microscopy, Holograms, Luminescence, Image processing

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Proceedings Article | 4 March 2014 Paper

Paper

Digital holographic microscopy for imaging growth and treatment response in 3D tumor models

Yuyu Li, Ljubica Petrovic, Jonathan Celli, Chandra Yelleswarapu

Proceedings Volume 8947, 894704 (2014) https://doi.org/10.1117/12.2040515

KEYWORDS: Digital holography, 3D modeling, Microscopy, Holography, Tumors, 3D image processing, Time lapse microscopy, Holographic interferometry, Tumor growth modeling, Digital color imaging

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SPIE Journal Paper | 25 September 2013 Open Access

Open Access

Impact of treatment response metrics on photodynamic therapy planning and outcomes in a three-dimensional model of ovarian cancer

Sriram Anbil, Imran Rizvi, Jonathan Celli, Nermina Alagic, Brian Pogue, Tayyaba Hasan

JBO, Vol. 18, Issue 09, 098004, (September 2013) https://doi.org/10.1117/12.10.1117/1.JBO.18.9.098004

KEYWORDS: Photodynamic therapy, Tumors, 3D modeling, Tumor growth modeling, Therapeutics, Picosecond phenomena, Control systems, Luminescence, Cancer, Cell death

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Proceedings Article | 13 March 2013 Paper

Paper

Overcoming therapeutic resistance in pancreatic cancer is not a simple mix of PDT and chemotherapy: Evaluation of PDT-chemotherapy combinations in 3D tumor models

Jonathan Celli, Ljubica Petrovic, Iqbal Massdodi, Imran Rizvi, Tayyaba Hasan

Proceedings Volume 8568, 85680R (2013) https://doi.org/10.1117/12.2010730

KEYWORDS: Photodynamic therapy, 3D modeling, Pancreatic cancer, Tumors, Therapeutics, Resistance, Tumor growth modeling, 3D image processing, Cancer, In vitro testing

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Proceedings Article | 13 March 2013 Paper

Paper

A photobleaching-based PDT dose metric predicts PDT efficacy over certain BPD concentration ranges in a three-dimensional model of ovarian cancer

S. Anbil, I. Rizvi, J. Celli, N. Alagic, T. Hasan

Proceedings Volume 8568, 85680S (2013) https://doi.org/10.1117/12.2010840

KEYWORDS: Photodynamic therapy, 3D modeling, Ovarian cancer, Tumor growth modeling, Picosecond phenomena, Oxygen, Luminescence, Tumors, Cancer, Photochemistry

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Proceedings Article | 13 March 2013 Paper

Paper

Modeling stromal determinants of 3D tumor growth to inform PDT-mediated combination treatments

I. Rizvi, S. Anbil, J. Celli, N. Alagic, I. Massodi, T. Hasan

Proceedings Volume 8568, 85680H (2013) https://doi.org/10.1117/12.2010678

KEYWORDS: 3D modeling, Tumors, Tumor growth modeling, Plating, Ovarian cancer, Cancer, Oncology, Animal model studies, 3D displays, Resistance

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Proceedings Article | 9 March 2012 Paper

Paper

Probing tumor-stroma interactions and response to photodynamic therapy in a 3D pancreatic cancer-fibroblast co-culture model

Michael Glidden, Iqbal Massodi, Imran Rizvi, Jonathan Celli, Tayyaba Hasan

Proceedings Volume 8210, 821006 (2012) https://doi.org/10.1117/12.910924

KEYWORDS: Tumors, Photodynamic therapy, 3D modeling, Tumor growth modeling, Pancreatic cancer, In vitro testing, 3D image processing, Resistance, Systems modeling, Image segmentation

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Proceedings Article | 2 March 2011 Paper

Paper

Biologically relevant 3D tumor arrays: treatment response and the importance of stromal partners

Imran Rizvi, Jonathan Celli, Feng Xu, Conor Evans, Adnan Abu-Yousif, Alona Muzikansky, Stefan Elrington, Brian Pogue, Dianne Finkelstein, Utkan Demirci, Tayyaba Hasan

Proceedings Volume 7886, 788609 (2011) https://doi.org/10.1117/12.875892

KEYWORDS: Tumors, 3D modeling, Tumor growth modeling, Photodynamic therapy, Cancer, Animal model studies, 3D image processing, Systems modeling, In vitro testing, 3D displays

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Proceedings Article | 28 February 2011 Paper

Paper

Biologically relevant 3D tumor arrays: imaging-based methods for quantification of reproducible growth and analysis of treatment response

Jonathan Celli, Imran Rizvi, Adam Blanden, Adnan Abu-Yousif, Bryan Spring, Tayyaba Hasan

Proceedings Volume 7886, 788608 (2011) https://doi.org/10.1117/12.876149

KEYWORDS: 3D image processing, 3D modeling, Tumors, Image segmentation, Image processing, Tumor growth modeling, Image transmission, Photodynamic therapy, Plating, In vitro testing

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Proceedings Article | 16 February 2011 Open Access

Open Access

Paper

Imaging enabled platforms for development of therapeutics

Jonathan Celli, Imran Rizvi, Adam Blanden, Conor Evans, Adnan Abu-Yousif, Bryan Spring, Alona Muzikansky, Brian Pogue, Dianne Finkelstein, Tayyaba Hasan

Proceedings Volume 7910, 791002 (2011) https://doi.org/10.1117/12.877293

KEYWORDS: Photodynamic therapy, 3D modeling, 3D image processing, Tumors, Cancer, Molecules, Ovarian cancer, Picosecond phenomena, Luminescence, Oxygen

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SPIE Journal Paper | 1 September 2010 Open Access

Open Access

Quantitative imaging reveals heterogeneous growth dynamics and treatment-dependent residual tumor distributions in a three-dimensional ovarian cancer model

Jonathan Celli, Imran Rizvi, Conor Evans, Adnan Abu-Yousif, Tayyaba Hasan

JBO, Vol. 15, Issue 05, 051603, (September 2010) https://doi.org/10.1117/12.10.1117/1.3483903

KEYWORDS: 3D modeling, 3D image processing, Tumors, Luminescence, Photodynamic therapy, Image processing, Image segmentation, Tumor growth modeling, In vitro testing, Ovarian cancer

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Proceedings Article | 5 March 2010 Paper

Paper

Visualizing photodynamic therapy response with time-lapse OCT in an in vitro model of metastatic ovarian cancer

Conor Evans, Imran Rizvi, Jonathan Celli, Adnan Abu-Yousif, Johannes de Boer, Tayyaba Hasan

Proceedings Volume 7551, 75510J (2010) https://doi.org/10.1117/12.843271

KEYWORDS: Photodynamic therapy, Optical coherence tomography, Ovarian cancer, Visualization, In vitro testing, 3D modeling, Tumor growth modeling, Tumors, Cell death, Scattering

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Proceedings Article | 3 March 2010 Paper

Paper

Three-dimensional ovarian cancer models: imaging and therapeutic combinations

Jonathan Celli, Imran Rizvi, Conor Evans, Adnan Abu-Yousif, Tayyaba Hasan

Proceedings Volume 7551, 75510I (2010) https://doi.org/10.1117/12.843279

KEYWORDS: 3D image processing, Photodynamic therapy, 3D modeling, Ovarian cancer, Tumor growth modeling, In vitro testing, Luminescence, Tumors, Image processing, Image analysis

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Proceedings Article | 13 July 2009 Paper

Paper

Intravital fiber-optic fluorescence imaging for monitoring ovarian carcinoma progression and treatment response

Bryan Spring, Jonathan Celli, Conor Evans, Wei Zhong, Imran Rizvi, Zhiming Mai, Jerome Mertz, Seok Yun, Tayyaba Hasan

Proceedings Volume 7380, 73800L (2009) https://doi.org/10.1117/12.828206

KEYWORDS: Tumors, Luminescence, Photodynamic therapy, Fiber optics, Ovarian cancer, In vivo imaging, Image processing, 3D modeling, Tumor growth modeling, Picosecond phenomena

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Showing 5 of 40 publications

Conference Committee Involvement (7)

Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXXIII

25 January 2025 | San Francisco, California, United States

Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXXII

27 January 2024 | San Francisco, California, United States

17th International Photodynamic Association World Congress

28 June 2019 | Cambridge, Massachusetts, United States

Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXVIII

2 February 2019 | San Francisco, California, United States

Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXVII

27 January 2018 | San Francisco, California, United States

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