Knee cartilage biopsy is used to confirm the pathology in both clinical and experimental conditions and often guides diagnosis and therapeutic strategies. Current histopathological techniques are time consuming, induce tissue artefacts and often prevent further evaluation, once the tissue has been fixed. Hence, there is a potential need for a fast and nondestructive imaging technique for unfixed tissue. Near-infrared, reflectance confocal microscopy (CM) allows real-time, virtual sectioning of unstained, bulk tissue samples. This pilot study evaluates the use of CM in the assessment of meniscus histopathology in a series of 26 freshly-excised human meniscus samples compared to standard light microscopy of stained sections. CM images of the meniscus show cell and matrix detail, depicting morphologic features of collagen and elastic fibres, vessels and nerve endings. In addition, crystal deposits of gout and pseudogout are also demonstrable. Thus, CM is a novel imaging technique that could enable the pathologist to make a rapid microscopic evaluation of cartilage in a fresh and unfixed fashion.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2517441 | PMC |
| http://dx.doi.org/10.1111/j.0959-9673.2005.00439.x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A 19-year-old asymptomatic woman.
Retin Cases Brief Rep
January 2025
New England Eye Center, Tufts Medical Center, Boston, MA.
Purpose: To describe a case of stellate multiform amelanotic choroidopathy (SMACH) with focal hyperfluorescence on indocyanine green angiography (ICGA).
Methods: Case report.
Results: A 19-year-old Caucasian woman was seen for an asymptomatic choroidal lesion.
NIR-Reflective Black Photonic Films Designed for Effective LiDAR Recognition.
ACS Appl Mater Interfaces
January 2025
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea.
Conventional dark-tone paints absorb both visible light and near-infrared (NIR) wavelengths, posing a challenge for light detection and ranging (LiDAR) recognition in autonomous driving. To overcome this issue, various chemical and structural coating materials have been explored to selectively reflect NIR. In this study, we newly propose colloidal photonic crystals with a stopband in the NIR range, fabricated through the spontaneous formation of crystalline arrays of silica particles dispersed in a photocurable resin, as a potential solution.
View Article and Find Full Text PDFUsing hyperspectral reflectance to detect changes in photosynthetic activity in leaves as a function of decreasing soil water content.
Photosynthetica
January 2025
Chengde Bijiashan Ecological Agriculture Technology Development Co., Ltd., 067000 Chengde, Hebei, China.
Application of hyperspectral reflectance technology to track changes in photosynthetic activity in () remains underexplored. This study aimed to investigate the relationship between hyperspectral reflectance and photosynthetic activity in the leaves of in response to a decrease in soil water content. Results demonstrated that the reflectance in both the visible light and near-infrared bands increased in conjunction with reduced soil water content.
View Article and Find Full Text PDFLateralization of Neural Speech Discrimination at Birth Is a Predictor for Later Language Development.
Dev Sci
March 2025
Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria.
Newborns are able to neurally discriminate between speech and nonspeech right after birth. To date it remains unknown whether this early speech discrimination and the underlying neural language network is associated with later language development. Preterm-born children are an interesting cohort to investigate this relationship, as previous studies have shown that preterm-born neonates exhibit alterations of speech processing and have a greater risk of later language deficits.
View Article and Find Full Text PDFRegression study on fruit-setting days of purple eggplant fruit based on in situ VIS-NIRS and attention cycle neural network.
J Food Sci
January 2025
College of Engineering, Jiangxi Agricultural University, Nanchang, China.
In the intelligent harvesting of eggplant, the lack of in situ identification technology makes it challenging to determine the maturity of purple eggplant fruit. The length of the fruit-setting date can determine when the eggplant is ready to be harvested. This study uses deep learning techniques to predict the date of fruit maturity.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!