ORCID Profile
0000-0002-8378-7261
Current Organisations
University of Western Australia
,
University of St Andrews
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Optica Publishing Group
Date: 14-04-2020
DOI: 10.1364/OSAC.391644
Publisher: American Association for the Advancement of Science (AAAS)
Date: 07-07-2023
Publisher: SPIE
Date: 22-02-2019
DOI: 10.1117/12.2508373
Publisher: SPIE
Date: 27-04-2016
DOI: 10.1117/12.2213824
Publisher: Springer Science and Business Media LLC
Date: 04-2017
Publisher: SPIE
Date: 26-04-2016
DOI: 10.1117/12.2218719
Publisher: Wiley
Date: 30-08-2019
Abstract: Accurate and effective removal of tumor in one operation is an important goal of breast-conserving surgery. However, it is not always achieved. Surgeons often utilize manual palpation to assess the surgical margin and/or the breast cavity. Manual palpation, however, is subjective and has relatively low resolution. Here, we investigate a tactile imaging technique, optical palpation, for the visualization of tumor. Optical palpation generates maps of the stress at the surface of tissue under static preload compression. Stress is evaluated by measuring the deformation of a contacting thin compliant layer with known mechanical properties using optical coherence tomography. In this study, optical palpation is performed on 34 freshly excised human breast specimens. Wide field-of-view (up to ~46 × 46 mm) stress images, optical palpograms, are presented from four representative specimens, demonstrating the capability of optical palpation to visualize tumor. Median stress reported for adipose tissue, 4 kPa, and benign dense tissue, 8 kPa, is significantly lower than for invasive tumor, 60 kPa. In addition, we demonstrate that optical palpation provides contrast consistent with a related optical technique, quantitative micro-elastography. This study demonstrates that optical palpation holds promise for visualization of tumor in breast-conserving surgery.
Publisher: American Association for Cancer Research (AACR)
Date: 15-04-2020
DOI: 10.1158/0008-5472.CAN-19-1240
Abstract: An optical imaging technology probes breast tissue elasticity to provide accurate assessment of tumor margin involvement in breast-conserving surgery.
Publisher: Cold Spring Harbor Laboratory
Date: 22-06-2023
DOI: 10.1101/2023.06.21.545939
Abstract: Cellular metabolism is a key regulator of energetics, cell growth, regeneration and homeostasis. Spatially mapping the heterogeneity of cellular metabolic activity is of great importance for unraveling the overall cell and tissue health. In this regard, imaging the endogenous metabolic co-factors NAD(P)H and FAD with sub-cellular resolution and in a non-invasive manner would be useful to determine tissue and cell viability in a clinical environment, but practical use is limited by current imaging techniques. In this article, we demonstrate the use of phasor-based hyperspectral light-sheet (HS-LS) microscopy using a single UVA excitation wavelength as a route to mapping metabolism in three dimensions. We show that excitation solely at a UVA wavelength of 375 nm can simultaneously excite NAD(P)H and FAD autofluorescence, while their relative contributions can be readily quantified using a hardware-based spectral phasor analysis. We demonstrate the potential of our HS-LS system by capturing dynamic changes in metabolic activity during pre-implantation embryo development. To validate our approach, we delineate metabolic changes during pre-implantation embryo development from volumetric maps of metabolic activity. Importantly, our approach overcomes the need for multiple excitation wavelengths, two-photon imaging or significant post-processing of data, paving the way towards clinical translation, such as in situ, non-invasive assessment of embryo viability.
Publisher: AIP Publishing LLCMelville, New York
Date: 22-12-2021
DOI: 10.1063/9780735423664_002
Abstract: The mechanics of tissue are exceptionally complex. They reflect the erse composition and architecture of many tissues, and have a profound role in regulating a multitude of biochemical and molecular processes. As a consequence, the understanding and quantification of tissue mechanics has been, and still remains, an important century-long pursuit. A main challenge in this area is the formalization of biological complexity into mathematical relations that are at once simple, as to be readily interpretable, and accurate, such that they confer key information on a broad variety of tissues. In elastography, as well as in many other mechanical imaging and metrology methods, this challenge is often approached by codifying tissue mechanics using the principles of continuum mechanics. There, the biological complexity is distilled to a few relations by using assumptions that are motivated by the composition, and observed behavior of tissues, as well as the measurement method used. In this chapter, we describe and reconcile this close relationship between the tissue biology, the measurement method, and the continuum mechanics models used to quantify measurements in elastography. Specifically, we focus on those principles that have founded many of the compelling demonstrations of optical coherence elastography.
Publisher: Figshare
Date: 2014
Publisher: The Optical Society
Date: 03-01-2019
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425298
Abstract: OCT and QME of mucinous carcinoma
Publisher: The Royal Society
Date: 03-2017
Abstract: High-resolution tactile imaging, superior to the sense of touch, has potential for future biomedical applications such as robotic surgery. In this paper, we propose a tactile imaging method, termed computational optical palpation, based on measuring the change in thickness of a thin, compliant layer with optical coherence tomography and calculating tactile stress using finite-element analysis. We demonstrate our method on test targets and on freshly excised human breast fibroadenoma, demonstrating a resolution of up to 15–25 µm and a field of view of up to 7 mm. Our method is open source and readily adaptable to other imaging modalities, such as ultrasonography and confocal microscopy.
Publisher: SPIE
Date: 29-04-2017
DOI: 10.1117/12.2269903
Publisher: OSA
Date: 2016
Publisher: AIP Publishing LLCMelville, New York
Date: 22-12-2021
DOI: 10.1063/9780735423664_006
Abstract: Tissue mechanical properties determine the relationship between an applied mechanical load and the resulting deformation of the s le. In optical coherence elastography (OCE), the objective is to spatially resolve tissue mechanical properties from often incomplete and noisy measurements of the load and deformation. This is achieved by solving an inverse problem, using a model of elasticity that reasonably describes the behavior of tissue. Incorporating more parameters into the model (such as heterogeneity, anisotropy, nonlinearity, or viscoelasticity) than are needed in a given application can unnecessarily complicate the inverse problem. Also, how the load is applied can enhance certain tissue responses, and the validity of an elasticity model, and, thus, allow for the characterization of tissue in different regimes. A successful OCE technique offers a good match between the load application method, and the tissue mechanical properties of interest, and employs a reasonably complete but simplified mechanical model that provides a noise-robust inversion. OCE techniques can be classified into two broad categories: those inducing and subsequently tracking propagating mechanical waves, and those applying and assuming a uniaxial load, and tracking the deformation in response. With a brief introduction to the former, this chapter focuses on the latter group, describes the most prominent of these techniques, and presents an overview of studies that have successfully extracted mechanical properties in tissue-like media.
Publisher: The University of Western Australia
Date: 2018
Publisher: IOP Publishing
Date: 26-02-2015
DOI: 10.1088/0031-9155/60/6/2293
Abstract: We demonstrate imaging of soft tissue viscoelasticity using optical coherence elastography. Viscoelastic creep deformation is induced in tissue using step-like compressive loading and the resulting time-varying deformation is measured using phase-sensitive optical coherence tomography. From a series of co-located B-scans, we estimate the local strain rate as a function of time, and parameterize it using a four-parameter Kelvin-Voigt model of viscoelastic creep. The estimated viscoelastic strain and time constant are used to visualize viscoelastic creep in 2D, dual-parameter viscoelastograms. We demonstrate our technique on six silicone tissue-simulating phantoms spanning a range of viscoelastic parameters. As an ex le in soft tissue, we report viscoelastic contrast between muscle and connective tissue in fresh, ex vivo rat gastrocnemius muscle and mouse abdominal transection. Imaging viscoelastic creep deformation has the potential to provide complementary contrast to existing imaging modalities, and may provide greater insight into disease pathology.
Publisher: IOP Publishing
Date: 04-2021
Publisher: Figshare
Date: 2014
Publisher: American Chemical Society (ACS)
Date: 05-02-2020
Publisher: Wiley
Date: 22-05-2018
Abstract: To evaluate the recent developments in optical coherence tomography (OCT) for tympanic membrane (TM) and middle ear (ME) imaging and to identify what further development is required for the technology to be integrated into common clinical use. PubMed, Embase, Google Scholar, Scopus, and Web of Science. A comprehensive literature search was performed for English language articles published from January 1966 to January 2018 with the keywords “tympanic membrane or middle ear,”“optical coherence tomography,” and “imaging.” Conventional imaging techniques cannot adequately resolve the microscale features of TM and ME, sometimes necessitating diagnostic exploratory surgery in challenging otologic pathology. As a high‐resolution noninvasive imaging technique, OCT offers promise as a diagnostic aid for otologic conditions, such as otitis media, cholesteatoma, and conductive hearing loss. Using OCT vibrometry to image the nanoscale vibrations of the TM and ME as they conduct acoustic waves may detect the location of ossicular chain dysfunction and differentiate between stapes fixation and incus‐stapes discontinuity. The capacity of OCT to image depth and thickness at high resolution allows 3‐dimensional volumetric reconstruction of the ME and has potential use for reconstructive tympanoplasty planning and the follow‐up of ossicular prostheses. To achieve common clinical use beyond these initial discoveries, future in vivo imaging devices must feature low‐cost probe or endoscopic designs and faster imaging speeds and demonstrate superior diagnostic utility to computed tomography and magnetic resonance imaging. While such technology has been available for OCT, its translation requires focused development through a close collaboration between engineers and clinicians.
Publisher: Proceedings of the National Academy of Sciences
Date: 15-05-2017
Abstract: Mechanobiology is receiving an increasing amount of focus, but the mechanics of cell-substrate behavior are often neglected in cell biology. As such, novel materials and systems that are simple to build and share in a nonengineering laboratory are sorely needed. We have fabricated gradient hydrogels with continuous linear gradients above and below the durotactic threshold, making it possible to pinpoint optimal stiffness values for a wide range of biological phenomena without the confounding effects of durotaxis. This system has the potential for wide adoption in the cell biology community because of its ease of fabrication, simple material ingredients, and wide gradient possibilities in a single well.
Publisher: SPIE
Date: 08-03-2016
DOI: 10.1117/12.2214684
Publisher: Optica Publishing Group
Date: 17-05-2021
DOI: 10.1364/OE.417954
Abstract: Phase-sensitive optical coherence tomography (OCT) is used to measure motion in a range of techniques, such as Doppler OCT and optical coherence elastography (OCE). In phase-sensitive OCT, motion is typically estimated using a model of the OCT signal derived from a single reflector. However, this approach is not representative of turbid s les, such as tissue, which exhibit speckle. In this study, for the first time, we demonstrate, through theory and experiment that speckle significantly lowers the accuracy of phase-sensitive OCT in a manner not accounted for by the OCT signal-to-noise ratio (SNR). We describe how the inaccuracy in speckle reduces phase difference sensitivity and introduce a new metric, speckle brightness, to quantify the amount of constructive interference at a given location in an OCT image. Experimental measurements show an almost three-fold degradation in sensitivity between regions of high and low speckle brightness at a constant OCT SNR. Finally, we apply these new results in compression OCE to demonstrate a ten-fold improvement in strain sensitivity, and a five-fold improvement in contrast-to-noise by incorporating independent speckle realizations. Our results show that speckle introduces a limit to the accuracy of phase-sensitive OCT and that speckle brightness should be considered to avoid erroneous interpretation of experimental data.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425304.V1
Abstract: OCT and QME of invasive ductal carcinoma with stroma
Publisher: The Optical Society
Date: 16-07-2019
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.C.6512005.V1
Abstract: Abstract Inadequate margins in breast-conserving surgery (BCS) are associated with an increased likelihood of local recurrence of breast cancer. Currently, approximately 20% of BCS patients require repeat surgery due to inadequate margins at the initial operation. Implementation of an accurate, intraoperative margin assessment tool may reduce this re-excision rate. This study determined, for the first time, the diagnostic accuracy of quantitative micro-elastography (QME), an optical coherence tomography (OCT)–based elastography technique that produces images of tissue microscale elasticity, for detecting tumor within 1 mm of the margins of BCS specimens. Simultaneous OCT and QME were performed on the margins of intact, freshly excised specimens from 83 patients undergoing BCS and on dissected specimens from 7 patients undergoing mastectomy. The resulting three-dimensional images (45 × 45 × 1 mm) were coregistered with postoperative histology to determine tissue types present in each scan. Data from 12 BCS patients and the 7 mastectomy patients served to build a set of images for reader training. One hundred and fifty-four subimages (10 × 10 × 1 mm) from the remaining 71 BCS patients were included in a blinded reader study, which resulted in 69.0% sensitivity and 79.0% specificity using OCT images, versus 92.9% sensitivity and 96.4% specificity using elasticity images. The quantitative nature of QME also facilitated development of an automated reader, which resulted in 100.0% sensitivity and 97.7% specificity. These results demonstrate high accuracy of QME for detecting tumor within 1 mm of the margin and the potential for this technique to improve outcomes in BCS. Significance: An optical imaging technology probes breast tissue elasticity to provide accurate assessment of tumor margin involvement in breast-conserving surgery. /
Publisher: The Optical Society
Date: 11-03-2019
Publisher: Cold Spring Harbor Laboratory
Date: 27-05-2021
DOI: 10.1101/2021.05.26.445797
Abstract: Deconvolution is a challenging inverse problem, particularly in techniques that employ complex engineered point-spread functions, such as microscopy with propagation-invariant beams. Here, we present a deep learning method for deconvolution that, in lieu of end-to-end training with ground truths, is trained using known physics of the imaging system. Specifically, we train a generative adversarial network with images generated with the known point-spread function of the system, and combine this with unpaired experimental data that preserves perceptual content. Our method rapidly and robustly deconvolves and superresolves microscopy images, demonstrating a two-fold improvement in image contrast to conventional deconvolution methods. In contrast to common end-to-end networks that often require 1,000–10,000s paired images, our method is experimentally unsupervised and can be trained solely on a few hundred regions of interest. We demonstrate its performance on light-sheet microscopy with propagation-invariant Airy beams, including in calibration beads, oocytes, preimplantation embryos, and excised brain tissue, as well as illustrate its utility for Bessel-beam LSM. This method aims to democratise learned methods for deconvolution, as it does not require data acquisition outwith the conventional imaging protocol.
Publisher: Springer Science and Business Media LLC
Date: 08-02-2019
Publisher: Springer Science and Business Media LLC
Date: 02-11-2022
DOI: 10.1038/S41377-022-00975-6
Abstract: Deconvolution is a challenging inverse problem, particularly in techniques that employ complex engineered point-spread functions, such as microscopy with propagation-invariant beams. Here, we present a deep-learning method for deconvolution that, in lieu of end-to-end training with ground truths, is trained using known physics of the imaging system. Specifically, we train a generative adversarial network with images generated with the known point-spread function of the system, and combine this with unpaired experimental data that preserve perceptual content. Our method rapidly and robustly deconvolves and super-resolves microscopy images, demonstrating a two-fold improvement in image contrast to conventional deconvolution methods. In contrast to common end-to-end networks that often require 1000–10,000s paired images, our method is experimentally unsupervised and can be trained solely on a few hundred regions of interest. We demonstrate its performance on light-sheet microscopy with propagation-invariant Airy beams in oocytes, preimplantation embryos and excised brain tissue, as well as illustrate its utility for Bessel-beam LSM. This method aims to democratise learned methods for deconvolution, as it does not require data acquisition outwith the conventional imaging protocol.
Publisher: Elsevier BV
Date: 12-2017
Publisher: Optica Publishing Group
Date: 14-01-2020
DOI: 10.1364/BOE.383419
Abstract: Recent studies in mechanobiology have revealed the importance of cellular and extracellular mechanical properties in regulating cellular function in normal and disease states. Although it is established that cells should be investigated in a three-dimensional (3-D) environment, most techniques available to study mechanical properties on the microscopic scale are unable to do so. In this study, for the first time, we present volumetric images of cellular and extracellular elasticity in 3-D biomaterials using quantitative micro-elastography (QME). We achieve this by developing a novel strain estimation algorithm based on 3-D linear regression to improve QME system resolution. We show that QME can reveal elevated elasticity surrounding human adipose-derived stem cells (ASCs) embedded in soft hydrogels. We observe, for the first time in 3-D, further elevation of extracellular elasticity around ASCs with overexpressed TAZ a mechanosensitive transcription factor which regulates cell volume. Our results demonstrate that QME has the potential to study the effects of extracellular mechanical properties on cellular functions in a 3-D micro-environment.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425319.V1
Abstract: Reader stats, Read-Eng1, Read-Eng2, Read-Path, Read-Res, Read-Truth, Read-Son, Read-Surg1, Read-Surg2
Publisher: SPIE
Date: 27-04-2016
DOI: 10.1117/12.2219643
Publisher: The Optical Society
Date: 16-12-2015
DOI: 10.1364/OL.41.000021
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425301.V1
Abstract: OCT and QME of ductal carcinoma in situ
Publisher: IEEE
Date: 11-2022
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425316
Abstract: ST1, ST2, Note on Prevalence, SF1, SF2, SF3, Note on Elastography
Publisher: Wiley
Date: 27-02-2020
Publisher: The Optical Society
Date: 17-03-2017
DOI: 10.1364/OL.42.001233
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425307.V1
Abstract: OCT and QME of invasive ductal carcinoma with adipose tissue
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425313
Abstract: OCT and QME of adipose tissue
Publisher: SPIE
Date: 27-04-2016
DOI: 10.1117/12.2213806
Publisher: The Optical Society
Date: 28-02-2019
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425310
Abstract: OCT and QME of benign stroma
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425298.V1
Abstract: OCT and QME of mucinous carcinoma
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.C.6512005
Abstract: Abstract Inadequate margins in breast-conserving surgery (BCS) are associated with an increased likelihood of local recurrence of breast cancer. Currently, approximately 20% of BCS patients require repeat surgery due to inadequate margins at the initial operation. Implementation of an accurate, intraoperative margin assessment tool may reduce this re-excision rate. This study determined, for the first time, the diagnostic accuracy of quantitative micro-elastography (QME), an optical coherence tomography (OCT)–based elastography technique that produces images of tissue microscale elasticity, for detecting tumor within 1 mm of the margins of BCS specimens. Simultaneous OCT and QME were performed on the margins of intact, freshly excised specimens from 83 patients undergoing BCS and on dissected specimens from 7 patients undergoing mastectomy. The resulting three-dimensional images (45 × 45 × 1 mm) were coregistered with postoperative histology to determine tissue types present in each scan. Data from 12 BCS patients and the 7 mastectomy patients served to build a set of images for reader training. One hundred and fifty-four subimages (10 × 10 × 1 mm) from the remaining 71 BCS patients were included in a blinded reader study, which resulted in 69.0% sensitivity and 79.0% specificity using OCT images, versus 92.9% sensitivity and 96.4% specificity using elasticity images. The quantitative nature of QME also facilitated development of an automated reader, which resulted in 100.0% sensitivity and 97.7% specificity. These results demonstrate high accuracy of QME for detecting tumor within 1 mm of the margin and the potential for this technique to improve outcomes in BCS. Significance: An optical imaging technology probes breast tissue elasticity to provide accurate assessment of tumor margin involvement in breast-conserving surgery. /
Publisher: Bioscientifica
Date: 15-09-2021
DOI: 10.1530/RAF-21-0043
Abstract: The success of IVF has remained stagnant for a decade. The focus of a great deal of research is to improve on the current ~30% success rate of IVF. Artificial intelligence (AI), or machines that mimic human intelligence, has been gaining traction for its potential to improve outcomes in medicine, such as cancer diagnosis from medical images. In this commentary, we discuss whether AI has the potential to improve fertility outcomes in the IVF clinic. Based on existing research, we examine the potential of adopting AI within multiple facets of an IVF cycle, including egg/sperm and embryo selection, as well as formulation of an IVF treatment regimen. We discuss both the potential benefits and concerns of the patient and clinician in adopting AI in the clinic. We outline hurdles that need to be overcome prior to implementation. We conclude that AI has an important future in improving IVF success.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425316.V1
Abstract: ST1, ST2, Note on Prevalence, SF1, SF2, SF3, Note on Elastography
Publisher: European Respiratory Society
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425319
Abstract: Reader stats, Read-Eng1, Read-Eng2, Read-Path, Read-Res, Read-Truth, Read-Son, Read-Surg1, Read-Surg2
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425304
Abstract: OCT and QME of invasive ductal carcinoma with stroma
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425307
Abstract: OCT and QME of invasive ductal carcinoma with adipose tissue
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425301
Abstract: OCT and QME of ductal carcinoma in situ
Publisher: SPIE
Date: 26-04-2016
DOI: 10.1117/12.2214802
Publisher: The Optical Society
Date: 19-09-2016
DOI: 10.1364/BOE.7.004139
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425310.V1
Abstract: OCT and QME of benign stroma
Publisher: Optica Publishing Group
Date: 08-09-2021
DOI: 10.1364/OL.430117
Abstract: Optical palpation maps stress at the surface of biological tissue into 2D images. It relies on measuring surface deformation of a compliant layer, which to date has been performed with optical coherence tomography (OCT). OCT-based optical palpation holds promise for improved clinical diagnostics however, the complexity and cost hinder broad adoption. In this Letter, we introduce coherence function-encoded optical palpation (CFE-OP) using a novel optical profilometry technique that exploits the envelope of the coherence function rather than its peak position, which is typically used to retrieve depth information. CFE-OP utilizes a Fabry–Perot laser diode (bandwidth, 2.2 nm) and a single photodiode in a Michelson interferometer to detect the position along the coherence envelope as a function of path length. This technique greatly reduces complexity and cost in comparison to the OCT-based approach. We perform CFE-OP on phantom and excised human breast tissue, demonstrating comparable mechanical contrast to OCT-based optical palpation and the capability to distinguish stiff tumor from soft benign tissue.
Publisher: The Optical Society
Date: 10-10-2019
DOI: 10.1364/OL.44.004981
Publisher: Mary Ann Liebert Inc
Date: 08-2016
Abstract: Deciphering the role of cell-to-cell communication in acquisition of cancer traits such as metastasis is one of the key challenges of integrative biology and clinical oncology. In this context, extracellular vesicles (EVs) are important vectors in cell-to-cell communication and serve as conduits in the transfer of cellular constituents required for cell function and for the establishment of cellular phenotypes. In the case of malignancy, they have been shown to support the acquisition of common traits defined as constituting the hallmarks of cancer. Cellular biophysics has contributed to our understanding of some of these central traits with changes in tissue biomechanics reflective of cell state. Indeed, much is known about stiffness of the tissue scaffold in the context of cell invasion and migration. This article advances this knowledge frontier by showing for the first time that EVs are mediators of tissue biomechanical properties and, importantly, demonstrates a link between the acquisition of cancer multidrug resistance and increased tissue stiffness of the malignant mass. The methodology used in the study employed optical coherence elastography and atomic force microscopy on breast cancer cell monolayers and tumor spheroids. Specifically, we show here that the acquired changes in tissue stiffness can be attributed to the intracellular transfer of a protein complex comprising ezrin, radixin, moesin, CD44, and P-glycoprotein. This has important implications in facilitating mechano-transduced signaling cascades that regulate the acquisition of cancer traits, such as invasion and metastasis. Finally, this study also introduces novel targets and strategies for diagnostic and therapeutic innovation in oncology, with a view to prevention of metastatic spread and personalized medicine in cancer treatment.
Publisher: American Association for Cancer Research (AACR)
Date: 31-03-2023
DOI: 10.1158/0008-5472.22425313.V1
Abstract: OCT and QME of adipose tissue
Publisher: Figshare
Date: 2019
Publisher: Figshare
Date: 2019
Publisher: The Optical Society
Date: 20-10-2017
DOI: 10.1364/BOE.8.005127
Publisher: Optica Publishing Group
Date: 20-09-2023
DOI: 10.1364/OE.498022
Publisher: Cold Spring Harbor Laboratory
Date: 27-02-2020
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Philip Wijesinghe.