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Dive into the research topics where Steven Y. Leigh is active.

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Featured researches published by Steven Y. Leigh.


Technology | 2014

Rapid ratiometric biomarker detection with topically applied SERS nanoparticles.

Yu “Winston” Wang; Altaz Khan; Madhura Som; Danni Wang; Ye Chen; Steven Y. Leigh; Daphne Meza; Patrick Z. McVeigh; Brian C. Wilson; Jonathan T. C. Liu

Multiplexed surface-enhanced Raman scattering (SERS) nanoparticles (NPs) offer the potential for rapid molecular phenotyping of tissues, thereby enabling accurate disease detection as well as patient stratification to guide personalized therapies or to monitor treatment outcomes. The clinical success of molecular diagnostics based on SERS NPs would be facilitated by the ability to accurately identify tissue biomarkers under time-constrained staining and detection conditions with a portable device. In vitro, ex vivo and in vivo experiments were performed to optimize the technology and protocols for the rapid detection (0.1-s integration time) of multiple cell-surface biomarkers with a miniature fiber-optic spectral-detection probe following a brief (5 min) topical application of SERS NPs on tissues. Furthermore, we demonstrate that the simultaneous detection and ratiometric quantification of targeted and nontargeted NPs allows for an unambiguous assessment of molecular expression that is insensitive to nonspecific variations in NP concentrations.


Scientific Reports | 2016

Quantitative molecular phenotyping with topically applied SERS nanoparticles for intraoperative guidance of breast cancer lumpectomy

Yu Wang; Soyoung Kang; Altaz Khan; Gabriel Ruttner; Steven Y. Leigh; Melissa P. Murray; Sanjee Abeytunge; Gary Peterson; Milind Rajadhyaksha; Suzanne M. Dintzis; Sara H. Javid; Jonathan T. C. Liu

There is a need to image excised tissues during tumor-resection procedures in order to identify residual tumors at the margins and to guide their complete removal. The imaging of dysregulated cell-surface receptors is a potential means of identifying the presence of diseases with high sensitivity and specificity. However, due to heterogeneities in the expression of protein biomarkers in tumors, molecular-imaging technologies should ideally be capable of visualizing a multiplexed panel of cancer biomarkers. Here, we demonstrate that the topical application and quantification of a multiplexed cocktail of receptor-targeted surface-enhanced Raman scattering (SERS) nanoparticles (NPs) enables rapid quantitative molecular phenotyping (QMP) of the surface of freshly excised tissues to determine the presence of disease. In order to mitigate the ambiguity due to nonspecific sources of contrast such as off-target binding or uneven delivery, a ratiometric method is employed to quantify the specific vs. nonspecific binding of the multiplexed NPs. Validation experiments with human tumor cell lines, fresh human tumor xenografts in mice, and fresh human breast specimens demonstrate that QMP imaging of excised tissues agrees with flow cytometry and immunohistochemistry, and that this technique may be achieved in less than 15 minutes for potential intraoperative use in guiding breast-conserving surgeries.


Biomedical Optics Express | 2014

Comprehensive spectral endoscopy of topically applied SERS nanoparticles in the rat esophagus

Yu W. Wang; Altaz Khan; Steven Y. Leigh; Danni Wang; Ye Chen; Daphne Meza; Jonathan T. C. Liu

The early detection and biological investigation of esophageal cancer would benefit from the development of advanced imaging techniques to screen for the molecular changes that precede and accompany the onset of cancer. Surface-enhanced Raman scattering (SERS) nanoparticles (NPs) have the potential to improve cancer detection and the investigation of cancer progression through the sensitive and multiplexed phenotyping of cell-surface biomarkers. Here, a miniature endoscope featuring rotational scanning and axial pull back has been developed for 2D spectral imaging of SERS NPs topically applied on the lumenal surface of the rat esophagus. Raman signals from low-pM concentrations of SERS NP mixtures are demultiplexed in real time to accurately calculate the concentration and ratio of the NPs. Ex vivo and in vivo experiments demonstrate the feasibility of topical application and imaging of multiplexed SERS NPs along the entire length of the rat esophagus.


PLOS ONE | 2013

Method for Assessing the Reliability of Molecular Diagnostics Based on Multiplexed SERS-Coded Nanoparticles

Steven Y. Leigh; Madhura Som; Jonathan T. C. Liu

Surface-enhanced Raman scattering (SERS) nanoparticles have been engineered to generate unique fingerprint spectra and are potentially useful as bright contrast agents for molecular diagnostics. One promising strategy for biomedical diagnostics and imaging is to functionalize various particle types (“flavors”), each emitting a unique spectral signature, to target a large multiplexed panel of molecular biomarkers. While SERS particles emit narrow spectral features that allow them to be easily separable under ideal conditions, the presence of competing noise sources and background signals such as detector noise, laser background, and autofluorescence confounds the reliability of demultiplexing algorithms. Results obtained during time-constrained in vivo imaging experiments may not be reproducible or accurate. Therefore, our goal is to provide experimentalists with a metric that may be monitored to enforce a desired bound on accuracy within a user-defined confidence level. We have defined a spectral reliability index (SRI), based on the output of a direct classical least-squares (DCLS) demultiplexing routine, which provides a measure of the reliability of the computed nanoparticle concentrations and ratios. We present simulations and experiments to demonstrate the feasibility of this strategy, which can potentially be utilized for a range of instruments and biomedical applications involving multiplexed SERS nanoparticles.


Optics Letters | 2012

Multi-color miniature dual-axis confocal microscope for point-of-care pathology

Steven Y. Leigh; Jonathan T. C. Liu

We present a miniature microelectromechanical systems-based dual-axis confocal microscope capable of spatially coregistered fluorescence and reflectance imaging at multiple wavelengths. This device has a 10 mm diameter scan head with a 2 mm diameter tip for convenient use during surgery to guide tumor resection. The microscope has an adjustable focal depth of 20-200 micrometers and is capable of imaging with an axial resolution of 9 micrometers and in-plane resolution of 4 micrometers over a field of view of 450×450 micrometers. Simultaneous two-color imaging of individual optical sections is achieved by using a pair of grating-prism assemblies to compensate for chromatic dispersion in the 2 mm diameter gradient index relay lens at the distal tip of the device. Experimental measurements of the axial response of the microscope, as well as two-color images of a reflective bar target and fresh mouse brain tissues, demonstrate the performance of our device and its potential for multicolor in vivo optical sectioning microscopy.


Biomedical Optics Express | 2014

Modulated-alignment dual-axis (MAD) confocal microscopy for deep optical sectioning in tissues

Steven Y. Leigh; Ye Chen; Jonathan T. C. Liu

A strategy is presented to enable optical-sectioning microscopy with improved contrast and imaging depth using low-power (0.5 mW) diode laser illumination. While the DAC architecture’s intersecting illumination and collection beams significantly improves the spatial-filtering and opticalsectioning performance of confocal microscopy, we propose that modulating the spatial alignment of the dual-axis beams at a frequency f, such the focal volume signal of the microscope is modulated at 2f, further provides nearly an order-of-magnitude improvement in optical-sectioning contrast. Lock-in detection is used to remove the unmodulated background light, thereby enhancing our ability to image deeply within highly scattering tissues.


Studies in health technology and informatics | 2013

Real-time pathology through in vivo microscopy.

Jonathan T. C. Liu; Nathan O. Loewke; Michael J. Mandella; Steven Y. Leigh; Richard Levenson; James M. Crawford; Christopher H. Contag

Miniature microscopes are being developed to examine tissue in situ for early anatomic and molecular indicators of disease, in real time, and at cellular resolution. These new devices will lead to a shift from the current diagnostic paradigm of biopsy followed by histopathology and recommended therapy, to one of non-invasive point-of-care diagnosis with the possibility of treatment in the same session. This potential revolution in disease management may have a major impact on the training of future physicians to include the use and interpretation of real-time in vivo microscopic data, and will also affect the emerging fields of telepathology and telemedicine. Implementation of new technologies into clinical practice is a complex process that requires multidisciplinary communication and collaboration among clinicians, engineers and scientists. As such, our aim is to provide a forward-looking view of the critical issues facing the development of new technologies and directing clinical education. Here, we focus on the use of in vivo microscopy for detection of malignant and pre-malignant lesions as well as for guiding therapy. We will highlight some of the areas in which in vivo microscopy could address unmet clinical needs, and then review the technological challenges that are being addressed, or need to be addressed, for in vivo microscopy to become an effective clinical tool.


IEEE Transactions on Biomedical Engineering | 2016

Modulated-alignment dual-axis (MAD) confocal microscopy optimized for speed and contrast.

Steven Y. Leigh; Ye Chen; Jonathan T. C. Liu

Modulated-alignment dual-axis (MAD) confocal microscopy combines the benefits of dual-axis confocal (DAC) microscopy and focal-modulation microscopy (FMM) for rejecting out-of-focus and multiply scattered light in tissues. The DAC architecture, which utilizes off-axis and separated beam paths for illumination and detection, has previously been shown to be superior to single-axis confocal (SAC) microscopy for the spatial filtering (rejection) of unwanted background light. With the MAD approach, a modulation of the alignment between the illumination and collection beam paths tags ballistic photons emanating from the focal volume with a characteristic radio frequency that can be extracted and separated from background signal using lock-in detection. We report here an optimized form of MAD confocal microscopy where we have fully mitigated tradeoffs in performance in an initial proof-of-concept system in order to recover the imaging speed of DAC microscopy while retaining contrast enhancement of 6 dB (signal-to-background ratio) with a secondary improvement in optical-sectioning and in-plane resolution. Validation is demonstrated with light-scattering tissue phantoms and freshly excised tissues.


Ntm | 2015

Modulated alignment dual-axis (MAD) confocal microscopy to improve tissue-imaging contrast

Steven Y. Leigh; Ye Chen; Jonathan T. C. Liu

We present a strategy to enhance the contrast of dual-axis confocal microscopy. This new method improves imaging by adding a modulation signature to ballistic photons, in addition to the spatial filtering inherent to confocal microscopy.


international symposium on optomechatronic technologies | 2014

Modulated Alignment Dual-Axis (MAD) Confocal Microscopy for Deep Optical Sectioining in Tissues

Steven Y. Leigh; Ye Chen; Jonathan T. C. Liu

We present a strategy to preserve contrast over a deeper range of imaging depths in the context of confocal microscopy using low-power (0.5 mW) diode laser illumination. While the dual-axis confocal microscope architectures intersecting illumination and collection beams significantly improves the spatial-filtering and optical-sectioning performance of confocal microscopy, we propose that modulating the spatial alignment of the dual-axis beams at a frequency f will generate a focal volume signal modulated at 2f, which further provides nearly an order-of-magnitude improvement in optical-sectioning contrast. Lock-in detection is used to remove the unmodulated background light, thereby enhancing our ability to image deeply within highly scattering tissues.

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Jonathan T. C. Liu

State University of New York System

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Ye Chen

State University of New York System

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Danni Wang

State University of New York System

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Altaz Khan

Stony Brook University

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Madhura Som

Stony Brook University

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Daphne Meza

Stony Brook University

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Yu Wang

Stony Brook University

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