Spectral domain phase microscopy (SDPM) is an extension of spectral domain optical coherence tomography (SDOCT) that exploits the extraordinary phase stability of spectrometer-based systems with common-path geometry to resolve sub-wavelength displacements within a sample volume. This technique has been implemented for high resolution axial displacement and velocity measurements in biological samples, but since axial displacement information is acquired serially along the lateral dimension, it has been unable to measure fast temporal dynamics in extended samples. Depth-Encoded SDPM (DESDPM) uses multiple sample arms with unevenly spaced common path reference reflectors to multiplex independent SDPM signals from separate lateral positions on a sample simultaneously using a single interferometer, thereby reducing the time required to detect unique optical events to the integration period of the detector. Here, we introduce DESDPM and demonstrate the ability to acquire useful phase data concurrently at two laterally separated locations in a phantom sample as well as a biological preparation of spontaneously beating chick cardiomyocytes. DESDPM may be a useful tool for imaging fast cellular phenomena such as nervous conduction velocity or contractile motion.
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http://dx.doi.org/10.1016/j.optcom.2011.06.001 | DOI Listing |
Front Neuroinform
January 2025
Centre Borelli, Université Paris Cité, UMR 9010, CNRS, Paris, France.
This article develops a fundamental insight into the behavior of neuronal membranes, focusing on their responses to stimuli measured with power spectra in the frequency domain. It explores the use of linear and nonlinear (quadratic sinusoidal analysis) approaches to characterize neuronal function. It further delves into the random theory of internal noise of biological neurons and the use of stochastic Markov models to investigate these fluctuations.
View Article and Find Full Text PDFInt Ophthalmol
January 2025
Department of Ophthalmology, Command Hospital, Pune, 411040, India.
Purpose: This study aimed to evaluate whether the digital eye strain (DES) was associated with the low central corneal thickness (CCT).
Methods: This observational cross-sectional pilot study was conducted from April 2023 to October 2023 at a tertiary eye care centre in North India, where CCT values were compared between subjects with DES and those without DES. Two hundred and eighty subjects (n = 280) aged 15-40 years with clear corneas and lenses were initially included in this study.
Anal Chem
January 2025
School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.
As breath nitric oxide (NO) is a biomarker of respiratory inflammation, reliable techniques for the online detection of ppb-level NO in exhaled breath are essential for the noninvasive diagnosis of respiratory inflammation. Here, we report a breath NO sensor based on the multiperiodic spectral reconstruction neural network. First, a spectral reconstruction method that transforms a spectrum from the wavelength domain to the intensity domain is proposed to remove noise and interference signals from the spectrum.
View Article and Find Full Text PDFAm J Ophthalmol
January 2025
Centre for Public Health, Faculty of Medicine and Health Sciences, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom. Electronic address:
Purpose: Color imaging is the accepted reference standard for detection of macular fibrosis in neovascular age-macular degeneration. Other imaging modalities of fluorescein angiography (FA) and spectral domain optical coherence tomography (SD-OCT) are also used but no formal agreement studies exist. We evaluated the agreement between fibrosis on colour, FA and SD-OCT-detected hyperreflective material (HRM) and their clinical relevance.
View Article and Find Full Text PDFHyperspectral images (HSI) have been extensively applied in a multitude of domains, due to their combined spatial and spectral characteristics along with a wealth of spectral bands. The ingenious combination of spatial and spectral information in HSI classification has remained a central research area for an extended period. In the classification process, it is essential to choose an expanded neighborhood window for learning.
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