scholarly journals Segmentation of colon tissue sample images using multiple graphics accelerators

2014 ◽  
Vol 51 ◽  
pp. 93-103 ◽  
Author(s):  
Sándor Szénási
Keyword(s):  
Tissue Sample ◽  
Colon Tissue ◽  
Colon Tissue Sample

scholarly journals Colon Tissues Classification and Localization in Whole Slide Images Using Deep Learning

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1398
Author(s):  
Pushpanjali Gupta ◽  
Yenlin Huang ◽  
Prasan Kumar Sahoo ◽  
Jeng-Fu You ◽  
Sum-Fu Chiang ◽  
...  
Keyword(s):  
Interobserver Variability ◽  
Tissue Sample ◽  
Treatment Strategies ◽  
Region Of Interest ◽  
Final Diagnosis ◽  
Colon Tissue ◽  
Automated Method ◽  
Slide Image ◽  
Colon Tissue Sample ◽  
Whole Slide Images

Colorectal cancer is one of the leading causes of cancer-related death worldwide. The early diagnosis of colon cancer not only reduces mortality but also reduces the burden related to the treatment strategies such as chemotherapy and/or radiotherapy. However, when the microscopic examination of the suspected colon tissue sample is carried out, it becomes a tedious and time-consuming job for the pathologists to find the abnormality in the tissue. In addition, there may be interobserver variability that might lead to conflict in the final diagnosis. As a result, there is a crucial need of developing an intelligent automated method that can learn from the patterns themselves and assist the pathologist in making a faster, accurate, and consistent decision for determining the normal and abnormal region in the colorectal tissues. Moreover, the intelligent method should be able to localize the abnormal region in the whole slide image (WSI), which will make it easier for the pathologists to focus on only the region of interest making the task of tissue examination faster and lesser time-consuming. As a result, artificial intelligence (AI)-based classification and localization models are proposed for determining and localizing the abnormal regions in WSI. The proposed models achieved F-score of 0.97, area under curve (AUC) 0.97 with pretrained Inception-v3 model, and F-score of 0.99 and AUC 0.99 with customized Inception-ResNet-v2 Type 5 (IR-v2 Type 5) model.

Biomedical applications: Pitfalls in the practice

1994 ◽  
Vol 52 ◽  
pp. 378-379
Author(s):  
J. D. Shelburne ◽  
Peter Ingram ◽  
Victor L. Roggli ◽  
Ann LeFurgey
Keyword(s):  
Operating Room ◽  
Liquid Nitrogen ◽  
Lung Tissue ◽  
Biomedical Applications ◽  
Microprobe Analysis ◽  
Tissue Sample ◽  
Cellular Level ◽  
Tissue Samples ◽  
Asbestos Fibers

At present most medical microprobe analysis is conducted on insoluble particulates such as asbestos fibers in lung tissue. Cryotechniques are not necessary for this type of specimen. Insoluble particulates can be processed conventionally. Nevertheless, it is important to emphasize that conventional processing is unacceptable for specimens in which electrolyte distributions in tissues are sought. It is necessary to flash-freeze in order to preserve the integrity of electrolyte distributions at the subcellular and cellular level. Ideally, biopsies should be flash-frozen in the operating room rather than being frozen several minutes later in a histology laboratory. Electrolytes will move during such a long delay. While flammable cryogens such as propane obviously cannot be used in an operating room, liquid nitrogen-cooled slam-freezing devices or guns may be permitted, and are the best way to achieve an artifact-free, accurate tissue sample which truly reflects the in vivo state. Unfortunately, the importance of cryofixation is often not understood. Investigators bring tissue samples fixed in glutaraldehyde to a microprobe laboratory with a request for microprobe analysis for electrolytes.

Pattern Recognition in Histo-Pathology: Basic Considerations

1982 ◽  
Vol 21 (01) ◽  
pp. 15-22 ◽  
Author(s):  
W. Schlegel ◽  
K. Kayser
Keyword(s):  
Pattern Recognition ◽  
Graph Theory ◽  
Normal Tissue ◽  
Diagnostic Procedures ◽  
Minimal Distance ◽  
Malignant Growth ◽  
Colon Tissue ◽  
First Results ◽  
Tissue Structures ◽  
The Given

A basic concept for the automatic diagnosis of histo-pathological specimen is presented. The algorithm is based on tissue structures of the original organ. Low power magnification was used to inspect the specimens. The form of the given tissue structures, e. g. diameter, distance, shape factor and number of neighbours, is measured. Graph theory is applied by using the center of structures as vertices and the shortest connection of neighbours as edges. The algorithm leads to two independent sets of parameters which can be used for diagnostic procedures. First results with colon tissue show significant differences between normal tissue, benign and malignant growth. Polyps form glands that are twice as wide as normal and carcinomatous tissue. Carcinomas can be separated by the minimal distance of the glands formed. First results of pattern recognition using graph theory are discussed.

Studi Histokimia Usus Biawak Air (Varanus salvator bivittatus) (Reptil: Varanidae)

2019 ◽  
Author(s):  
Mahfud Mahfud ◽  
Ernawati
Keyword(s):  
Tissue Sample ◽  
Histological Section ◽  
Tissue Perfusion ◽  
Intestinal Wall ◽  
Biological Information ◽  
Suitable Habitat ◽  
Monitor Lizard ◽  
Varanus Salvator ◽  
Hematoxylin Eosin ◽  
Paraffin Method

Biological information, behaviour and suitable habitat of water monitor was very less in order to support its maintenance management and breeding efforts. One of important information is the information of digestive tract, particularly the information about the structure of intestine tissue of water monitor. Sample in this research was intestine organ of water monitor. The animal was anesthetized, exanguinated, and fixed in paraformaldehyde 4% by tissue perfusion method. The intestine tissue sample for histological section with paraffin method was cutted with 3-4 μm thick and coloured with hematoxylin eosin (HE). Observation were performed to the structure of intestine histology. The results was analysed descriptively and presented in figures. Monitor lizard intestine consist of small intestine and large intestine. The small intestinal wall was observed similar to jejunum and ileum. The large intestinal wall was composed of transitional ephytelia and connective tissue. However, the ephytelial layer in this tissue was composed of transitional ephytelia that similar to vesica urinaria and there are no villi.

Dietary Quercetin Alleviated DSS-induced Colitis in Mice Through Several Possible Pathways by Transcriptome Analysis

2020 ◽  
Vol 21 (15) ◽  
pp. 1666-1673 ◽  
Author(s):  
Yuanyang Dong ◽  
Jiaqi Lei ◽  
Bingkun Zhang
Keyword(s):  
Antioxidant Capacity ◽  
Underlying Mechanism ◽  
Control Group ◽  
Sequencing Analysis ◽  
Colon Tissue ◽  
Beneficial Effects ◽  
Intestinal Integrity ◽  
Inflammatory Bowel ◽  
Vegetables And Fruits ◽  
Key Pathways

Background: The prevalence of inflammatory bowel disease is rapidly increasing around the world. Quercetin is a flavonoid commonly found in vegetables and fruits and has been reported to exert numerous pharmacological activities such as enhancing antioxidant capacity or suppressing inflammation. Objective: We aimed to explore whether quercetin was effective for IBD and the underlying mechanism of quercetin for the ameliorative effects on the DSS-induced colitis in mice. Methods: Thirty-six mice were randomly assigned to three treatments, including the control group (Ctr), DSS-induced colitis group (DSS) and DSS-induced colitis supplemented with 500 ppm quercetin (DQ500). Colitis was induced by DSS intake, and body weight was recorded every day. After six days administration of DSS, intestinal permeability was measured, and the liver was taken for antioxidant enzyme tests. Colonic tissue was taken for the histopathlogical score and RNA-sequencing analysis. Results: In this experiment, dietary quercetin for 500ppm alleviated the DSS-induced colitis, possibly by strengthening intestinal integrity, liver antioxidant capacity. Based on the results of the transcriptome of colon tissue, several key genes were modulated by quercetin. ERK1/2-FKBP pathway and RXR-STAT3 pathway were involved in the development of IBD, furthermore, in the down-regulation of S100a8/9, FBN2 contributed to lowering the risk of colongenesis. Conclusion: We demonstrated that dietary quercetin alleviated the DSS-induced colitis in mice. This is most likely due to its beneficial effects on intestinal integrity and modulation of several key pathways. Based on our research, quercetin was a promising candidate for IBD and its pharmaceutical effects on both IBD and colongenesis need further research.

Colon Tissue Immunoelectron Microscopy

BIO-PROTOCOL ◽  
2013 ◽  
Vol 3 (20) ◽  
Author(s):  
Megumi Iwano ◽  
Akio Tsuru ◽  
Kenji Kohno
Keyword(s):  
Immunoelectron Microscopy ◽  
Colon Tissue

scholarly journals Gut microbiota modulation induced by Zika virus infection in immunocompetent mice

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rafael Corrêa ◽  
Igor de Oliveira Santos ◽  
Heloísa Antoniella Braz-de-Melo ◽  
Lívia Pimentel de Sant’Ana ◽  
Raquel das Neves Almeida ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Zika Virus ◽  
Hypervariable Region ◽  
Microbiota Composition ◽  
Colon Tissue ◽  
Zikv Infection ◽  
Immunological Responses ◽  
Immunocompetent Mice ◽  
Gut Microbiota Composition

AbstractGut microbiota composition can modulate neuroendocrine function, inflammation, and cellular and immunological responses against different pathogens, including viruses. Zika virus (ZIKV) can infect adult immunocompetent individuals and trigger brain damage and antiviral responses. However, it is not known whether ZIKV infection could impact the gut microbiome from adult immunocompetent mice. Here, we investigated modifications induced by ZIKV infection in the gut microbiome of immunocompetent C57BL/6J mice. Adult C57BL/6J mice were infected with ZIKV and the gut microbiota composition was analyzed by next-generation sequencing of the V4 hypervariable region present in the bacterial 16S rDNA gene. Our data showed that ZIKV infection triggered a significant decrease in the bacteria belonging to Actinobacteria and Firmicutes phyla, and increased Deferribacteres and Spirochaetes phyla components compared to uninfected mice. Interestingly, ZIKV infection triggered a significant increase in the abundance of bacteria from the Spirochaetaceae family in the gut microbiota. Lastly, we demonstrated that modulation of microbiota induced by ZIKV infection may lead to intestinal epithelium damage and intense leukocyte recruitment to the intestinal mucosa. Taken together, our data demonstrate that ZIKV infection can impact the gut microbiota composition and colon tissue homeostasis in adult immunocompetent mice.

scholarly journals Preclinical Detection of Alpha-Synuclein Seeding Activity in the Colon of a Transgenic Mouse Model of Synucleinopathy by RT-QuIC

Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 759
Author(s):  
Jung-Youn Han ◽  
Chaewon Shin ◽  
Young Pyo Choi
Keyword(s):  
Mouse Model ◽  
Transgenic Mice ◽  
Lewy Body ◽  
Dementia With Lewy Body ◽  
Transgenic Mouse Model ◽  
Alpha Synuclein ◽  
Gi Tract ◽  
Colon Tissue ◽  
Presymptomatic Stage ◽  
The Brain

In synucleinopathies such as Parkinson’s disease (PD) and dementia with Lewy body (DLB), pathological alpha-synuclein (α-syn) aggregates are found in the gastrointestinal (GI) tract as well as in the brain. In this study, using real-time quaking-induced conversion (RT-QuIC), we investigated the presence of α-syn seeding activity in the brain and colon tissue of G2-3 transgenic mice expressing human A53T α-syn. Here we show that pathological α-syn aggregates with seeding activity were present in the colon of G2-3 mice as early as 3 months old, which is in the presymptomatic stage prior to the observation of any neurological abnormalities. In contrast, α-syn seeding activity was not detectable in 3 month-old mouse brains and only identified at 6 months of age in one of three mice. In the symptomatic stage of 12 months of age, RT-QuIC seeding activity was consistently detectable in both the brain and colon of G2-3 mice. Our results indicate that the RT-QuIC assay can presymptomatically detect pathological α-syn aggregates in the colon of G2-3 mice several months prior to their detection in brain tissue.

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