Prof. Cristina L. Zavaleta Profile

Prof. Cristina L. Zavaleta

at Univ of Southern California

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 13 March 2024 Presentation

Label-free visualization and analysis of metallic nanoparticle biodistribution using multiphoton luminescence

Sean Burkitt, Anthony Mouchawar, Olga Eremina, Augusta Fernando, Cristina Zavaleta

Proceedings Volume PC12821, PC1282108 (2024) https://doi.org/10.1117/12.3007514

KEYWORDS: Gold nanoparticles, Luminescence, Visualization, Biological research, Biological imaging, Zinc oxide, Ultrafast imaging, Titanium dioxide, Tissues, Silver

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Proceedings Article | 13 March 2024 Presentation

Utilization of Raman nanoparticles for high-plex spatial proteomic imaging

Cristina Zavaleta

Proceedings Volume PC12821, PC128210A (2024) https://doi.org/10.1117/12.3008501

KEYWORDS: Raman spectroscopy, Nanoparticles, Tumors, Therapeutics, Profiling, Tissues, Multiplexing, Spatial resolution, Pathology, Oncology

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Proceedings Article | 17 March 2023 Presentation

Multiplexed spatial profiling of cancer enabled by Raman imaging (Conference Presentation)

Olga Eremina, Alexander Czaja, Augusta Fernando, Cristina Zavaleta

Proceedings Volume PC12398, PC123980D (2023) https://doi.org/10.1117/12.2650294

KEYWORDS: Multiplexing, Profiling, Surface enhanced Raman spectroscopy, Cancer, Raman spectroscopy, Particles, Nanoparticles, Imaging spectroscopy, Image resolution, Tissues

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Proceedings Article | 17 March 2023 Presentation

Quantitation of an expanded SERS nanoparticle library for highly multiplexed imaging assays (Conference Presentation)

Alexander Czaja, Samer Awad, Olga Eremina, Cristina Zavaleta

Proceedings Volume PC12395, PC1239509 (2023) https://doi.org/10.1117/12.2648091

KEYWORDS: Multiplexing, Nanoparticles, Imaging systems, Raman scattering, Hyperspectral imaging, Scattering, Raman spectroscopy, Gold

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Proceedings Article | 17 March 2023 Presentation

A topographic Raman imaging approach for surgical margin assessment

Alexander Czaja, Alice Jiang, Olga Eremina, Cristina Zavaleta

Proceedings Volume PC12361, PC1236106 (2023) https://doi.org/10.1117/12.2649201

KEYWORDS: Natural surfaces, Nanoparticles, Tumors, Tissues, Surgery, Objectives, Multiplexing, Microscopes, Microcontrollers, Raman spectroscopy

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Proceedings Article | 7 March 2022 Presentation

A resurgence in nanoparticles: accelerating the clinical translation of nano-based imaging contrast agents

Cristina Zavaleta

Proceedings Volume PC11938, PC1193804 (2022) https://doi.org/10.1117/12.2610675

KEYWORDS: Nanoparticles, Toxicity, Therapeutic agents, Diagnostics

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Proceedings Article | 3 March 2022 Presentation

DFT calculations can guide chemical design of plasmonic nanoparticles

Olga Eremina, Dmitry Eremin, Alexander Czaja, Cristina Zavaleta

Proceedings Volume PC11978, PC1197805 (2022) https://doi.org/10.1117/12.2612380

KEYWORDS: Surface enhanced Raman spectroscopy, Nanoparticles, Raman spectroscopy, Plasmonics, Multiplexing, Medicine, Silica, Raman scattering, Molecules, Image resolution

Proceedings Article | 5 March 2021 Presentation

Quantitative hyperspectral microscopy for evaluating nanoparticle biodistribution in histological sections with single particle sensitivity

Elliott SoRelle, Orly Liba, Jos Campbell, Roopa Dalal, Cristina Zavaleta, Adam de la Zerda

Proceedings Volume 11624, 116240A (2021) https://doi.org/10.1117/12.2579530

KEYWORDS: Nanoparticles, Particles, Tissues, Microscopy, Plasmonics, Spleen, Liver, Kidney, Scattering, Nanorods

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Proceedings Article | 17 February 2017 Paper

Machine learning-assisted hyperspectral analysis of plasmonic contrast agent microbiodistribution with single-particle sensitivity and sub-cellular resolution

Elliott SoRelle, Orly Liba, Jos Campbell, Roopa Dalal, Cristina Zavaleta, Adam de la Zerda

Proceedings Volume 10080, 100800L (2017) https://doi.org/10.1117/12.2254117

KEYWORDS: Image classification, Nanoparticles, Particles, Hyperspectral imaging, Machine learning, Biological research, Plasmonics, Microscopy, Biomedical optics, Therapeutic agents, In vivo imaging, Tissues, Tumors, Gold, Liver

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SPIE Journal Paper | 5 September 2013 Open Access

High-sensitivity, real-time, ratiometric imaging of surface-enhanced Raman scattering nanoparticles with a clinically translatable Raman endoscope device

Ellis Garai, Steven Sensarn, Cristina Zavaleta, Dominique Van de Sompel, Nathan Loewke, Michael Mandella, Sanjiv Gambhir, Christopher Contag

JBO, Vol. 18, Issue 09, 096008, (September 2013) https://doi.org/10.1117/12.10.1117/1.JBO.18.9.096008

KEYWORDS: Nanoparticles, Surface enhanced Raman spectroscopy, Raman spectroscopy, Tissues, Endoscopes, Multimode fibers, Real time imaging, Raman scattering, Colon, Signal detection

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Proceedings Article | 21 March 2013 Paper

A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle

Adam de la Zerda, Moritz Kircher, Jesse Jokerst, Cristina Zavaleta, Paul Kempen, Erik Mittra, Ken Pitter, Ruimin Huang, Carl Campos, Frezghi Habte, Robert Sinclair, Cameron Brennan, Ingo Mellinghoff, Eric Holland, Sanjiv Gambhir

Proceedings Volume 8581, 85810G (2013) https://doi.org/10.1117/12.2001719

KEYWORDS: Tumors, Raman spectroscopy, Brain, Magnetic resonance imaging, Nanoparticles, Neuroimaging, Photoacoustic spectroscopy, Photoacoustic imaging, Cancer, Tissues

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Proceedings Article | 22 February 2013 Paper

Comparison of Gaussian and Poisson noise models in a hybrid reference spectrum and principal component analysis algorithm for Raman spectroscopy

Dominique Van de Sompel, Ellis Garai, Cristina Zavaleta, Sanjiv Gambhir

Proceedings Volume 8590, 85900I (2013) https://doi.org/10.1117/12.2005455

KEYWORDS: Raman spectroscopy, Interference (communication), Nanoparticles, Colon, Calibration, Glasses, Computer simulations, Quartz, Data modeling, Principal component analysis

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Raman spectra are most commonly analyzed using the ordinary least squares (LS) method. However, LS is sensitive to variability in the spectra of the analyte and background materials. We previously addressed this problem by successfully proposing a novel hybrid least squares and principal components (HLP) algorithm. HLP extended LS by allowing the reference spectra to vary in accordance with the principal components observed in calibration sets. Previously, HLP assumed zero-mean Gaussian measurement noise. In this work, we show that the noise in fact follows a Poisson distribution, and update the mathematical framework of our algorithm accordingly. Since the name ’least squares’ referred to the Gaussian noise model, we also generalize the name of our algorithm to the Hybrid reference Spectrum and Principal component analysis (HSP) algorithm. The performance of the Gaussian and Poisson noise models is compared using both simulated and measured spectra. The simulated spectra were computed by adding various concentrations of Raman-enhanced gold-silica nanoparticles to three different backgrounds (paraffin, glass and quartz). The measured spectra were acquired from a serial dilution of gold-silica nanoparticles placed on an excised pig colon. For the simulated spectra, the Poisson model consistently outperformed the Gaussian model, on average reducing the mean absolute concentration error as well as its standard deviation by ~15-20%. For the measured data, the Gaussian and Poisson noise models yielded similar concentration estimates. Both HSP algorithms also outperformed the LS algorithm, indicating that the incorporation of the principal components yields a larger improvement in accuracy than the optimization of the noise model. Further comparison between the two HSP algorithms (with Gaussian and Poisson noise models) was precluded by a lack of precise ground truth knowledge of the nanoparticle concentrations on the colon tissue. However, the simulation results already demonstrated that the optimization of noise models can improve the detection accuracy of Raman spectroscopy, and that it may therefore be an important consideration in future high-sensitivity Raman imaging studies.

Proceedings Article | 25 February 2009 Paper

Enhanced sensitivity carbon nanotubes as targeted photoacoustic molecular imaging agents

Adam de la Zerda, Zhuang Liu, Cristina Zavaleta, Sunil Bodapati, Robert Teed, Srikant Vaithilingam, Te-Jen Ma, Omer Oralkan, Xiaoyuan Chen, Butrus Khuri-Yakub, Hongjie Dai, Sanjiv Gambhir

Proceedings Volume 7177, 71772K (2009) https://doi.org/10.1117/12.809601

KEYWORDS: Photoacoustic spectroscopy, Single walled carbon nanotubes, Particles, Absorption, Photoacoustic imaging, Transducers, Tissue optics, Molecular imaging, Absorbance, Ultrasonography

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Proceedings Article | 12 February 2009 Paper

Photoacoustic molecular imaging using single walled carbon nanotubes in living mice

Adam de la Zerda, Cristina Zavaleta, Shay Keren, Srikant Vaithilingam, Sunil Bodapati, Robert Teed, Zhuang Liu, Jelena Levi, Bryan Smith, Te-Jen Ma, Omer Oralkan, Zhen Cheng, Xiaoyuan Chen, Hongjie Dai, Butrus Khuri-Yakub, Sanjiv Gambhir

Proceedings Volume 7177, 717725 (2009) https://doi.org/10.1117/12.806497

KEYWORDS: Single walled carbon nanotubes, Photoacoustic spectroscopy, Tumors, Raman spectroscopy, Ultrasonography, Transducers, Molecular imaging, Image resolution, Photoacoustic imaging, 3D image processing

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Showing 5 of 14 publications

Conference Committee Involvement (7)

Visualizing and Quantifying Drug Distribution in Tissue IX

25 January 2025 | San Francisco, California, United States

Visualizing and Quantifying Drug Distribution in Tissue VIII

27 January 2024 | San Francisco, California, United States

Visualizing and Quantifying Drug Distribution in Tissue VII

28 January 2023 | San Francisco, California, United States

Visualizing and Quantifying Drug Distribution in Tissue VI

22 January 2022 | San Francisco, California, United States

Visualizing and Quantifying Drug Distribution in Tissue V

6 March 2021 | Online Only, California, United States

Showing 5 of 7 Conference Committees

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