James McGrath
National University of Ireland, Galway
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Publication
Featured researches published by James McGrath.
Scientific Reports | 2015
Sergey A. Alexandrov; James McGrath; Hrebesh M. Subhash; Francesca Boccafoschi; Cinzia Giannini; Martin J. Leahy
Progress in the emerging areas of science and technology, such as bio- and nano-technologies, depends on development of corresponding techniques for imaging and probing the structures with high resolution. Recently, the far field diffraction resolution limit in the optical range has been circumvented and different methods of super-resolution optical microscopy have been developed. The importance of this breakthrough achievement has been recognized by Nobel Prize for Chemistry in 2014. However, the fluorescence based super-resolution techniques only function with fluorescent molecules (most of which are toxic and can destroy or lead to artificial results in living biological objects) and suffer from photobleaching. Here we show a new way to break the diffraction resolution limit, which is based on nano-sensitivity to internal structure. Instead of conventional image formation as 2D intensity distribution, in our approach images are formed as a result of comparison of the axial spatial frequency profiles, reconstructed for each image point. The proposed approach dramatically increases the lateral resolution even in presence of noise and allows objects to be imaged in their natural state, without any labels.
Science of The Total Environment | 2014
James McGrath; M.A. Byrne; Mike Ashmore; A.C. Terry; C. Dimitroulopoulou
This paper highlights the development and application of the probabilistic model (IAPPEM), which predicts PM10 and PM2.5 concentrations in the indoor environments. A number of features are detailed and justified through simulated comparison, which are shown to be necessary when modelling indoor PM concentrations. A one minute resolution predicts up to 20% higher peak concentrations compared with a 15 min resolution. A modified PM10 deposition method, devised to independently analyse the PM2.5 fraction of PM10, predicts up to 56% higher mean concentrations. The application of the model is demonstrated by a number of simulations. The total PM contribution, from different indoor emission sources, was analysed in terms of both emission strength and duration. In addition, PM concentrations were examined by varying the location of the emission source. A 24-hour sample profile is simulated based on sample data, designed to demonstrate the combined functionality of the model, predicting PM10 and PM2.5 peak concentrations up to 1107±175 and 596±102 μg m(-3) respectively, whilst predicting PM10 and PM2.5 mean concentrations up to 259±21 and 166±11 μg m(-3) respectively.
Journal of Biomedical Optics | 2016
Joey Enfield; James McGrath; Susan M. Daly; Martin J. Leahy
Abstract. Changes within the microcirculation can provide an early indication of the onset of a plethora of ailments. Various techniques have thus been developed that enable the study of microcirculatory irregularities. Correlation mapping optical coherence tomography (cmOCT) is a recently proposed technique, which enables mapping of vasculature networks at the capillary level in a noninvasive and noncontact manner. This technique is an extension of conventional optical coherence tomography (OCT) and is therefore likewise limited in the penetration depth of ballistic photons in biological media. Optical clearing has previously been demonstrated to enhance the penetration depth and the imaging capabilities of OCT. In order to enhance the achievable maximum imaging depth, we propose the use of optical clearing in conjunction with the cmOCT technique. We demonstrate in vivo a 13% increase in OCT penetration depth by topical application of a high-concentration fructose solution, thereby enabling the visualization of vessel features at deeper depths within the tissue.
Proceedings of SPIE | 2016
Cerine Lal; James McGrath; Hrebesh M. Subhash; Sweta Rani; Thomas Ritter; Martin J. Leahy
Optical Coherence Tomography (OCT) is a non-invasive 3 dimensional optical imaging modality that enables high resolution cross sectional imaging in biological tissues and materials. Its high axial and lateral resolution combined with high sensitivity, imaging depth and wide field of view makes it suitable for wide variety of high resolution medical imaging applications at clinically relevant speed. With the advent of swept source lasers, the imaging speed of OCT has increased considerably in recent years. OCT has been used in ophthalmology to study dynamic changes occurring in the cornea and iris, thereby providing physiological and pathological changes that occur within the anterior segment structures such as in glaucoma, during refractive surgery, lamellar keratoplasty and corneal diseases. In this study, we assess the changes in corneal thickness in the anterior segment of the eye during wound healing process in a rat corneal burn model following stem cell therapy using high speed swept source OCT.
Proceedings of SPIE | 2015
James McGrath; Sergey A. Alexandrov; Peter Owens; Hrebesh M. Subhash; Martin J. Leahy
Changes in the microcirculation are associated with conditions such as Raynauds disease. Current modalities used to assess the microcirculation such as nailfold capillaroscopy are limited due to their depth ambiguity. A correlation mapping technique was recently developed to extend the capabilities of Optical Coherence Tomography to generate depth resolved images of the microcirculation. Here we present the extension of this technique to microscopy modalities, including confocal microscopy. It is shown that this correlation mapping microscopy technique can extend the capabilities of conventional microscopy to enable mapping of vascular networks in vivo with high spatial resolution.
Journal of Biophotonics | 2018
Sergey A. Alexandrov; James McGrath; Colin J. R. Sheppard; Francesca Boccafoschi; Cinzia Giannini; Teresa Sibillano; Hrebesh M. Subhash; Josh Hogan; Martin J. Leahy
For both fundamental study of biological processes and early diagnosis of diseases, information about nanoscale changes in tissue and cell structure is crucial. Nowadays, almost all currently known nanoscopy methods rely upon the contrast created by fluorescent stains attached to the object or molecule of interest. This causes limitations due to the impact of the label on the object and its environment, as well as its applicability in vivo, particularly in humans. In this paper, a new label-free approach to visualize small structure with nano-sensitivity to structural alterations is introduced. Numerically synthesized profiles of the axial spatial frequencies are used to probe the structure within areas whose size can be beyond the diffraction resolution limit. Thereafter, nanoscale structural alterations within such areas can be visualized and objects, including biological ones, can be investigated with sub-wavelength resolution, in vivo, in their natural environment. Some preliminary results, including numerical simulations and experiments, which demonstrate the nano-sensitivity and super-resolution ability of our approach, are presented.
Proceedings of SPIE | 2016
Sergey A. Alexandrov; James McGrath; Hrebesh M. Subhash; Francesca Boccafoschi; Cinzia Giannini; Martin J. Leahy
We present a novel super-resolution spectral encoding of spatial frequency (srSESF) approach to break the diffraction limit and dramatically improve resolution in lateral direction. The idea is to utilize additional information about the internal structure of the object to resolve features in the lateral direction. The novel contrast mechanism is realized by reconstruction and comparison of the axial spatial frequency (period) profiles at each image point to form super-resolution image. As a result, small features, unresolved by conventional microscopy, can be visualized. Numerical simulation and experiments confirm the super-resolution abilities of the srSESF approach without applying any labels.
Proceedings of SPIE | 2016
Cerine Lal; James McGrath; Hrebesh M. Subhash; Martin J. Leahy
Optical Coherence Tomography (OCT) is a non-invasive 3 dimensional optical imaging modality that enables high resolution cross sectional imaging in biological tissues and materials. Unlike other 3 D medical imaging modalities, OCT provides high axial and lateral resolution combined with high sensitivity, imaging depth and wide field of view which makes it suitable for wide variety of medical imaging applications1. Apart from analysing the morphological characteristics of the biological organs with micron scale axial and lateral resolution, OCT also provides functional information from the biological sample. Among the various functional extensions of OCT, angiographic OCT that enables visualization of lumens of blood vessels from the acquired OCT B scan images has been of high research interest in the recent past.
Journal of Biomedical Optics | 2016
James McGrath; Sergey A. Alexandrov; Peter Owens; Hrebesh M. Subhash; Martin J. Leahy
Abstract. To facilitate regular assessment of the microcirculation in vivo, noninvasive imaging techniques such as nailfold capillaroscopy are required in clinics. Recently, a correlation mapping technique has been applied to optical coherence tomography (OCT), which extends the capabilities of OCT to microcirculation morphology imaging. This technique, known as correlation mapping optical coherence tomography, has been shown to extract parameters, such as capillary density and vessel diameter, and key clinical markers associated with early changes in microvascular diseases. However, OCT has limited spatial resolution in both the transverse and depth directions. Here, we extend this correlation mapping technique to other microscopy modalities, including confocal microscopy, and take advantage of the higher spatial resolution offered by these modalities. The technique is achieved as a processing step on microscopy images and does not require any modification to the microscope hardware. Results are presented which show that this correlation mapping microscopy technique can extend the capabilities of conventional microscopy to enable mapping of vascular networks in vivo with high spatial resolution in both the transverse and depth directions.
Atmospheric Environment | 2014
James McGrath; M.A. Byrne; Mike Ashmore; A.C. Terry; C. Dimitroulopoulou