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Two-photon intravital imaging is a powerful method by which researchers are able to directly observe biological phenomena in live organisms. Researchers in various biomedical research fields have applied two-photon imaging to a variety of target organs by utilizing this technology's ability to penetrate to significant depths with minimal phototoxicity. The mouse respiratory system in inflammation models is a good example, as two-photon intravital imaging can provide insights as to how the immune system is activated in response to inflammation within the respiratory system. Inflammation models can be generated via influenza viral, bacterial, or lipopolysaccharide injection. To exteriorize the lungs or trachea, thoracotomy or tracheotomy is performed, respectively; the appropriate combination of inflammation induction and organ exposure is selected depending on the study purpose. On the other hand, visualizing the movement of leukocytes is also an important component; to this end, immune cell populations of interest are either labeled via the genetic attachment of fluorescent proteins or stained with antibodies or dyes. With the proper selection of methods at each step, twophoton intravital imaging can yield visual evidence regarding immune responses to inflammation.
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http://dx.doi.org/10.4266/acc.2019.00542 | DOI Listing |
J Biophotonics
September 2025
Department of Cell Biology and Anatomy, University of Calgary, Calgary, Alberta, Canada.
Intravital lung imaging has been employed to study physiological and pathophysiological processes related to nanoparticle deposition in the alveolar lung, particularly in the context of air pollution and drug delivery. However, optical imaging depth is limited, often attributed to the refractive index (RI) mismatch at the alveolar air-tissue interface. To investigate this, we evaluated two complementary strategies.
View Article and Find Full Text PDFSci Rep
September 2025
Department of Computer Science and Informatics, Applied College, Taibah University, Madinah, 41461, Saudi Arabia.
Skin cancer, particularly melanoma, remains one of the most life-threatening forms of cancer worldwide, with early detection being critical for improving patient outcomes. Traditional diagnostic methods, such as dermoscopy and histopathology, are often limited by subjectivity, interobserver variability, and resource constraints. To address these challenges, this study proposes a dual-stream deep learning framework that combines histopathological-inherited and vision-based feature extraction for accurate and efficient skin lesion diagnosis.
View Article and Find Full Text PDFCurr Opin HIV AIDS
August 2025
Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York.
Purpose Of Review: Persistent HIV reservoirs within lymphoid tissues represent a major obstacle to achieving an HIV cure. This review examines current and emerging assays used to visualize, characterize, and quantify these reservoirs. Recent advancements in imaging, sequencing, and single-cell technologies are providing unprecedented detail about the composition, landscape and behavior of HIV reservoirs.
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August 2025
Institute for Clinical and Experimental Surgery, Saarland University, PharmaScienceHub (PSH), 66421, Homburg, Germany.
Radiotherapy, while effective in cancer treatment, can lead to side effects, such as radiodermatitis with potential long-term consequences including telangiectasias, ulceration and fibrosis of the skin, eventually resulting in impaired wound healing. In this study, we analyzed whether the healing of such challenging wounds can be improved by nanofat (NF). NF is generated by mechanical emulsification and filtration of fat samples and, thus, is a random mixture of adipose-derived stem cells, microvascular fragments, extracellular matrix components and growth factors.
View Article and Find Full Text PDFExp Dermatol
August 2025
The Kittner Skin Cancer Screening & Research Institute, Sheba Medical Center, Ramat Gan and School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Negative pigment network (NPN) is a dermoscopic structure frequently associated with melanoma. Though commonly observed in Spitz naevi (SN) and Spitzoid melanoma (SM), its reflectance confocal microscopy (RCM) correlates have been primarily studied in non-Spitzoid melanocytic neoplasms. This study aimed to identify clinical, dermoscopic, and RCM features associated with dermoscopic NPN in Spitzoid neoplasms and explore its histopathological correlates.
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