Hybrid imaging systems involve the joint design of an optical image-gathering module and digital processing algorithms to obtain a required final image. They have the potential to achieve imaging performance hitherto unobtainable by conventional imaging techniques. A reduction in the signal-to-noise ratio of the final image is one of their main disadvantages when one is considering linear signal processing. We analyze the effect of additive white noise at the detector on the performance of hybrid imaging systems under quasi-monochromatic incoherent illumination. We also show numerical results and computer-simulated images for an extended depth-of-field hybrid system.
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http://dx.doi.org/10.1364/ol.30.002566 | DOI Listing |
J Neurochem
January 2025
Center for Protein Diagnostics (PRODI) Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Alzheimer's disease (AD) is characterized by the accumulation of amyloid-beta (Aβ) plaques in the brain, contributing to neurodegeneration. This study investigates lipid alterations within these plaques using a novel, label-free, multimodal approach. Combining infrared (IR) imaging, machine learning, laser microdissection (LMD), and flow injection analysis mass spectrometry (FIA-MS), we provide the first comprehensive lipidomic analysis of chemically unaltered Aβ plaques in post-mortem human AD brain tissue.
View Article and Find Full Text PDFMicrosc Res Tech
January 2025
AIDA Lab. College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia.
The development of deep learning algorithms has transformed medical image analysis, especially in brain tumor recognition. This research introduces a robust automatic microbrain tumor identification method utilizing the VGG16 deep learning model. Microscopy magnetic resonance imaging (MMRI) scans extract detailed features, providing multi-modal insights.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
January 2025
Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.
Drug toxicity during the development of candidate pharmaceuticals is the leading cause of discontinuation in preclinical drug discovery and development. Traditionally, the cause of the toxicity is often determined by histological examination, clinical pathology, and the detection of drugs and/or metabolites by liquid chromatography-mass spectrometry (LC-MS). While these techniques individually provide information on the pathological effects of the drug and the detection of metabolites, they cannot provide specific molecular spatial information without additional experiments.
View Article and Find Full Text PDFSurv Ophthalmol
January 2025
School of Medicine, Vita-Salute San Raffaele University, Milan, Italy; Division of head and neck, Ophthalmology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. Electronic address:
Focal capillary ectasia in the macular region can manifest in distinct clinical scenarios, which can be categorized into two main entities: perifoveal vascular anomalous complex (PVAC) and telangiectatic capillaries (TelCaps). PVAC represents a primary, idiopathic condition, whereas TelCaps occur secondary to underlying vascular disorders, including diabetic macular edema and retinal vein occlusion. We provide a comprehensive analysis of these two entities, encompassing their clinical presentations, multimodal imaging findings, histological evidence, and differential diagnosis from other retinal microvascular abnormalities, such as Type 1 macular telangiectasia, adult-onset Coats disease, Type 3 macular neovascularization in age-related macular degeneration, and retinal arterial macroaneurysms.
View Article and Find Full Text PDFBrain Res Bull
January 2025
Department of Acupuncture and Moxibustion, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, 518033, China. Electronic address:
Background: Subcortical vascular mild cognitive impairment (svMCI) frequently occurs alongside depressive symptoms, significantly affecting patients' quality of life. While cognitive decline and depressive symptoms are linked to cerebellar changes, the specific relationship between these changes and cognitive status in svMCI patients with depression remains unclear.
Objective: This study aimed to investigates the gray matter volume and functional alterations in the cerebellum of svMCI patients, with and without depressive symptoms, and their correlation with cognitive and depressive symptoms.
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