Blood is one of the most commonly encountered types of biological evidence found at scenes of violent crime and one of the most commonly observed fingerprint contaminants. Current visualisation methods rely on presumptive tests or chemical enhancement methods. Although these can successfully visualise ridge detail, they are destructive, do not confirm the presence of blood and can have a negative impact on DNA sampling. A novel application of visible wavelength reflectance hyperspectral imaging (HSI) has been used for the detection and positive identification of blood stained fingerprints in a non-contact and non-destructive manner on white ceramic tiles. The identification of blood was based on the unique visible absorption spectrum of haemoglobin between 400 and 500 nm. HSI has been used to successfully visualise ridge detail in blood stained fingerprints to the ninth depletion. Ridge detail was still detectable with diluted blood to 20-fold dilutions. Latent blood stains were detectable to 15,000-fold dilutions. Ridge detail was detectable for fingerprints up to 6 months old. HSI was also able to conclusively distinguish blood stained fingerprints from fingerprints in six paints and eleven other red/brown media with zero false positives.
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http://dx.doi.org/10.1016/j.scijus.2016.01.004 | DOI Listing |
Int J Surg Pathol
January 2025
Department of Pathology, Stanford Medical Center, Stanford, CA, USA.
Insulinoma-associated protein 1 (INSM1) is a relatively new immunostain used in the diagnostic assessment of tumors with neuroendocrine differentiation. While INSM1 positivity has been described in some non-neuroendocrine neoplasms, reactivity in red blood cells (RBCs) has only been anecdotally noted in one prior study without description of the degree/extent of staining. INSM1 staining in nucleated erythroid precursors has not been previously reported.
View Article and Find Full Text PDFAdv Clin Exp Med
January 2025
Acupuncture and Tuina College, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Background: Chronic soft tissue injury is characterized by sterile inflammation and pain. Gua sha with Masanggoubang oil (GSMO) treatment has been found to possess anti-inflammatory and analgesic effects.
Objectives: To explore the mechanism of GSMO in chronic soft tissue injuries.
Gastro Hep Adv
September 2024
Department of Surgery, UTHealth at Houston, Houston, Texas.
Background And Aims: Pancreatic stellate cells (PSCs) are critical mediators in chronic pancreatitis with an undefined role in acute pancreatitis (AP). PSCs consist of a heterogenous group of cells and are considered interchangeable with pancreatic fibroblasts. This study explored the heterogeneous nature of PSCs by characterizing pancreatic collagen-expressing fibroblasts (PCFs) via lineage tracing in mouse normal and AP pancreas and determining the effect of PCF depletion in AP.
View Article and Find Full Text PDFPathogens
January 2025
Department of Pharmacology and Toxicology, Faculty of Biosciences, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan.
(1) Background: Surra is a debilitating disease of wild and domestic animals caused by (), resulting in significant mortality and production losses in the affected animals. This study is the first to assess the genetic relationships of in naturally affected buffaloes from Multan district, Pakistan, using ITS-1 primers and evaluating the effects of parasitemia and oxidative stress on DNA damage and hematobiochemical changes in infected buffaloes. (2) Methods: Blood samples were collected from 167 buffaloes using a multi-stage cluster sampling strategy, and trypomastigote identification was performed through microscopy and PCR targeting RoTat 1.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Space Robotics Research Group (SpaceR), Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, L-1855 Luxembourg, Luxembourg.
Malaria remains a global health concern, with 249 million cases and 608,000 deaths being reported by the WHO in 2022. Traditional diagnostic methods often struggle with inconsistent stain quality, lighting variations, and limited resources in endemic regions, making manual detection time-intensive and error-prone. This study introduces an automated system for analyzing Romanowsky-stained thick blood smears, focusing on image quality evaluation, leukocyte detection, and malaria parasite classification.
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