In fiber-based confocal microscopy, using two separate fibers for illumination and collection enables the use of a few-mode fiber to achieve an effect similar to opening the pinhole in a conventional confocal microscope. In some Fourier-domain applications, however, or when a spectral measurement is involved, the coherent light detection would lead to noticeable spectral modulation artifacts that result from differential mode delay, an effect caused by the multimode propagation in the collection fiber. After eliminating these artifacts by using mode-dependent polarization control, we demonstrate effective spectrally encoded imaging with improved signal efficiency and lower speckle noise, and only a minor, negligible reduction in lateral and axial resolutions.
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http://dx.doi.org/10.1364/BOE.544465 | DOI Listing |
Biomed Opt Express
January 2025
Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.
In fiber-based confocal microscopy, using two separate fibers for illumination and collection enables the use of a few-mode fiber to achieve an effect similar to opening the pinhole in a conventional confocal microscope. In some Fourier-domain applications, however, or when a spectral measurement is involved, the coherent light detection would lead to noticeable spectral modulation artifacts that result from differential mode delay, an effect caused by the multimode propagation in the collection fiber. After eliminating these artifacts by using mode-dependent polarization control, we demonstrate effective spectrally encoded imaging with improved signal efficiency and lower speckle noise, and only a minor, negligible reduction in lateral and axial resolutions.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, Ontario, Canada M5S 3H6.
The cost of encoding a system Hamiltonian in a digital quantum computer as a linear combination of unitaries (LCU) grows with the 1-norm of the LCU expansion. The Block Invariant Symmetry Shift (BLISS) technique reduces this 1-norm by modifying the Hamiltonian action on only the undesired electron-number subspaces. Previously, BLISS required a computationally expensive nonlinear optimization that was not guaranteed to find the global minimum.
View Article and Find Full Text PDFNeuroimage
January 2025
Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA.
Introduction: Ultra-high-field magnetic resonance (MR) systems (7 T and 9.4 T) offer the ability to probe human brain metabolism with enhanced precision. Here, we present the preliminary findings from 3D MR spectroscopic imaging (MRSI) of the human brain conducted with the world's first 10.
View Article and Find Full Text PDFSci Rep
January 2025
The National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
The Optimal electrode configuration of Electroencephalograms (EEG) systems for mild cognitive impairment (MCI) detection and monitoring in non-clinical settings, i.e. number of electrodes and the positions of the electrodes, remains to be explored.
View Article and Find Full Text PDFLight Sci Appl
January 2025
Center for Biomedical Optics and Photonics & College of Physics and Optoelectronic Engineering, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen, 518060, China.
Multicolor microscopy and super-resolution optical microscopy are two widely used techniques that greatly enhance the ability to distinguish and resolve structures in cellular imaging. These methods have individually transformed cellular imaging by allowing detailed visualization of cellular and subcellular structures, as well as organelle interactions. However, integrating multicolor and super-resolution microscopy into a single method remains challenging due to issues like spectral overlap, crosstalk, photobleaching, phototoxicity, and technical complexity.
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