Rapid and Uniform NHS-Ester-Based Membrane Protein Labeling of Live Mammalian Cells [PDF]
Rapid and uniform labeling of plasma membrane proteins is essential for high-resolution imaging of dynamic membrane topologies and intercellular communication in live mammalian cells.
Alyssa Burgess +2 more
doaj +2 more sources
Virtual Gram staining of label-free bacteria using dark-field microscopy and deep learning [PDF]
Gram staining has been a frequently used staining protocol in microbiology. It is vulnerable to staining artifacts due to, e.g., operator errors and chemical variations. Here, we introduce virtual Gram staining of label-free bacteria using a trained neural network that digitally transforms dark-field images of unstained bacteria into their
Çağatay Işıl +10 more
+8 more sources
Scanning Electrochemical Microscopy (SECM) is used in combination with copper labeling to visualize roteins on surfaces. Proteins are adsorbed on a poly(vinylidene difluoride) (PVDF) membrane and stained using a standard protocol involving ...
Maurizio Carano +2 more
doaj +4 more sources
Virtual Staining, Segmentation, and Classification of Blood Smears for Label-Free Hematology Analysis [PDF]
Objective and Impact Statement . We present a fully automated hematological analysis framework based on single-channel (single-wavelength), label-free deep-ultraviolet (UV) microscopy that serves as a fast, cost-effective alternative to conventional hematology analyzers. Introduction .
Nischita Kaza +2 more
openalex +4 more sources
Basophilic peripheral nerve inclusions in a patient with L144F SOD1 amyotrophic lateral sclerosis [PDF]
Introduction. Histopathological findings of various inclusions were reported in the central nervous system of amyotrophic lateral sclerosis (ALS) patients but not in the peripheral nerves. Case report.
Aleksić Dejan +5 more
doaj +1 more source
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset [PDF]
In this paper, a semi-automatic annotation of bacteria genera and species from DIBaS dataset is implemented using clustering and thresholding algorithms. A Deep learning model is trained to achieve the semantic segmentation and classification of the bacteria species. Classification accuracy of 95% is achieved.
Chethan Reddy G. P. +5 more
openalex +3 more sources
Melanin-Binding Colorants: Updating Molecular Modeling, Staining and Labeling Mechanisms, and Biomedical Perspectives [PDF]
Melanin and melanoma tumors are two fields of increasing interest in biomedical research. Melanins are ubiquitous biopigments with adaptive value and multiple functions, and occur in the malignant melanoma. Although several chemical structures have been proposed for eumelanin, molecular modeling and orbitals indicate that a planar or spiral ...
Juan C. Stockert +2 more
openaire +3 more sources
Comparison of β-Amyloid Plaque Labeling Methods: Antibody Staining, Gallyas Silver Staining, and Thioflavin-S Staining [PDF]
Objective To evaluate senile plaque formation and compare the sensitivity of three different β-amyloid (Aβ) labeling methods (antibody staining, Gallyas silver staining, and thioflavin-S staining) to detect Aβ deposition.Methods APPswe/PSEN1dE9 transgenic mice (APP/PS1) of different ages were used to examine spatiotemporal changes in Aβ plaque ...
Xin-Ze, Shi +3 more
openaire +2 more sources
Epigenetics and cell death: DNA hypermethylation in programmed retinal cell death. [PDF]
BackgroundVertebrate genomes undergo epigenetic reprogramming during development and disease. Emerging evidence suggests that DNA methylation plays a key role in cell fate determination in the retina.
Enke, Raymond A +5 more
core +15 more sources
Metastatic Dedifferentiated Chondrosarcoma to Thyroid Gland: A Case Report
A 54-year-old man presented with a pathologic hip fracture secondary to a right femur tumor. A reaming biopsy showed the diagnosis of dedifferentiated chondrosarcoma (DDC). In addition, the patient had a thyroid mass.
Tariq N. Aladily +3 more
doaj +1 more source

