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Recent advancements in tissue-clearing techniques and volumetric imaging have greatly facilitated visualization and quantification of biomolecules, organelles, and cells in intact organs or even entire organisms. Generally, there are two types of clearing methods: hydrophobic and hydrophilic (i.e., clearing with organic or aqueous solvents, respectively). The popular iDISCO approach and its modifications are hydrophobic methods that involve dehydration, delipidation, decolorization (optional), decalcification (optional), and refractive-index (RI) matching steps. Cleared samples are often stored for a relatively long period of time and imaged repeatedly. However, cleared tissues can become opaque over time, which prevents accurate reimaging. We reasoned that the resurgent haziness is likely due to rehydration, residual lipids, and uneven RI deep inside those tissue samples. For rescue, we have developed a simple procedure based on iDISCO. Beginning with a methanol dehydration, samples are delipidated using dichloromethane, followed by RI matching with dibenzyl ether (DBE). This simple method effectively re-clears mouse brains that have turned opaque during months of storage, allowing the user to effectively image immunolabeled samples over longer periods of time. Key features • This simple protocol rescues previously cleared tissue that has turned opaque. • The method does not cause detectable loss of immunofluorescence from previously stained samples. Graphical overview.
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http://dx.doi.org/10.21769/BioProtoc.4948 | DOI Listing |
J Invertebr Pathol
November 2025
School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao 266237, China. Electronic address:
A new microsporidian species was described from the hypoderm of Diaphanosoma leuchtenbergianum sampled from a eutrophic water body of Changshu city, Jiangsu province, China. Infected daphnia generally appeared opaque due to numerous spores accumulated in the host integument. The earliest developmental stages observed were uninucleate meronts which were in direct contact with the host cell cytoplasm.
View Article and Find Full Text PDFAcc Mater Res
July 2025
Department of Chemistry and Pharmacy, Section Materials Chemistry, Chair of Particle-Based Materials Chemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Egerlandstraße 1, 91058 Erlangen, Germany.
The ability to gather information about materials and products, such as their origin, physicochemical properties or history of experienced environmental stimuli, is valuable for quality control, predictive maintenance, delivery tracking, recycling, and more. Integrating additives capable of recording and storing information into materials offers a flexible approach to create "materials intelligence". Common strategies utilize luminescent markers or DNA sequences that enable object identification and environmental impact monitoring.
View Article and Find Full Text PDFWorld J Clin Cases
April 2025
Department of Internal Medicine, Gayatri Vidya Parishad Institute of Healthcare and Medical Technology, Visakhapatnam 530048, India.
Patients in intensive care units (ICUs) require rapid critical decision making. Modern ICUs are data rich, where information streams from diverse sources. Machine learning (ML) and neural networks (NN) can leverage the rich data for prognostication and clinical care.
View Article and Find Full Text PDFSensors (Basel)
October 2024
College of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou 121001, China.
Although deep learning techniques have potential in vehicle behavior prediction, it is difficult to integrate traffic rules and environmental information. Moreover, its black-box nature leads to an opaque and difficult-to-interpret prediction process, limiting its acceptance in practical applications. In contrast, ontology reasoning, which can utilize human domain knowledge and mimic human reasoning, can provide reliable explanations for the speculative results.
View Article and Find Full Text PDFJ Econ Entomol
December 2024
JHB Consulting, 6552 Carnegie Street, Burnaby, BC, V5B 1Y3, Canada.
We used the Photonic Fence Monitoring Device (PFMD) to evaluate orientation by Musca domestica L. (Diptera: Muscidae), and Calliphora vicina Robineau-Desvoidy (Diptera: Calliphoridae) to the Zevo Flying Insect Trap Model 3. The PFMD's dual cameras record infrared light (IR) reflected from a wavelength-specific fabric; insects do not reflect IR at the same wavelength and are tracked in 3 dimensions as moving objects.
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