scholarly journals Fatquant: An automated image analysis tool for identification of fat cells in heterogeneous hematoxylin and eosin tissue sections.

2021 ◽  
Author(s):  
Roshan Naik ◽  
Annie Rajan ◽  
Nehal Kalita
Keyword(s):  
Automated Image Analysis ◽  
Endocrine Function ◽  
Cell Detection ◽  
Analysis Tool ◽  
Fat Cells ◽  
Fat Cell ◽  
Tissue Sections ◽  
Histological Images ◽  
Hematoxylin And Eosin ◽  
Automated Tools

Hematoxylin and eosin (H and E) is one of the common histological staining techniques that provides information on the tissue cytoarchitecture. Adipose (fat) cells accumulation in pancreas has been shown to impact beta cell survival and its endocrine function. The current automated tools available for fat analysis are suited for white adipose tissue which is homogeneous and easier to segment unlike heterogeneous tissues such as pancreas where fat cells continue to play critical physiopathological functions. In the current study, we present an automated fat analysis tool, Fatquant, where mathematical formula to calculate diagonal of a square drawn inside circle is utilized for identification and analysis of fat cells in heterogeneous H and E tissue sections. Using histological images of pancreas from a publicly available database, we show an area accuracy overlap of 89-93% between manual versus automated algorithm based fat cell detection.

Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections

2022 ◽  
pp. 116456
Author(s):  
Adriano Barbosa Silva ◽  
Alessandro Santana Martins ◽  
Thaína Aparecida Azevedo Tosta ◽  
Leandro Alves Neves ◽  
João Paulo Silva Servato ◽  
...  
Keyword(s):  
Computational Analysis ◽  
Epithelial Dysplasia ◽  
Oral Epithelial Dysplasia ◽  
Tissue Sections ◽  
Histological Images ◽  
Hematoxylin And Eosin ◽  
Oral Epithelial

scholarly journals Alignment of Au nanorods along de novo designed protein nanofibers studied with automated image analysis

Soft Matter ◽  
2021 ◽  
Author(s):  
Muammer Y. Yaman ◽  
Kathryn N. Guye ◽  
Maxim Ziatdinov ◽  
Hao Shen ◽  
David Baker ◽  
...  
Keyword(s):  
Image Analysis ◽  
De Novo ◽  
Automated Image Analysis ◽  
Analysis Tool ◽  
Au Nanorods

In this study, we focus on exploring the directional assembly of anisotropic Au nanorods along de novo designed 1D protein nanofiber templates using automated image analysis tool.

scholarly journals PathoFusion: An Open-Source AI Framework for Recognition of Pathomorphological Features and Mapping of Immunohistochemical Data

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 617
Author(s):  
Guoqing Bao ◽  
Xiuying Wang ◽  
Ran Xu ◽  
Christina Loh ◽  
Oreoluwa Daniel Adeyinka ◽  
...  
Keyword(s):  
Neural Network ◽  
Tumor Vasculature ◽  
Integrated System ◽  
Pathological Features ◽  
Adjacent Tissue ◽  
Tissue Sections ◽  
Contextual Feature ◽  
Hematoxylin And Eosin ◽  
Feature Information ◽  
Software Code

We have developed a platform, termed PathoFusion, which is an integrated system for marking, training, and recognition of pathological features in whole-slide tissue sections. The platform uses a bifocal convolutional neural network (BCNN) which is designed to simultaneously capture both index and contextual feature information from shorter and longer image tiles, respectively. This is analogous to how a microscopist in pathology works, identifying a cancerous morphological feature in the tissue context using first a narrow and then a wider focus, hence bifocal. Adjacent tissue sections obtained from glioblastoma cases were processed for hematoxylin and eosin (H&E) and immunohistochemical (CD276) staining. Image tiles cropped from the digitized images based on markings made by a consultant neuropathologist were used to train the BCNN. PathoFusion demonstrated its ability to recognize malignant neuropathological features autonomously and map immunohistochemical data simultaneously. Our experiments show that PathoFusion achieved areas under the curve (AUCs) of 0.985 ± 0.011 and 0.988 ± 0.001 in patch-level recognition of six typical pathomorphological features and detection of associated immunoreactivity, respectively. On this basis, the system further correlated CD276 immunoreactivity to abnormal tumor vasculature. Corresponding feature distributions and overlaps were visualized by heatmaps, permitting high-resolution qualitative as well as quantitative morphological analyses for entire histological slides. Recognition of more user-defined pathomorphological features can be added to the system and included in future tissue analyses. Integration of PathoFusion with the day-to-day service workflow of a (neuro)pathology department is a goal. The software code for PathoFusion is made publicly available.

scholarly journals Deep learning-based transformation of H&E stained tissues into special stains

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kevin de Haan ◽  
Yijie Zhang ◽  
Jonathan E. Zuckerman ◽  
Tairan Liu ◽  
Anthony E. Sisk ◽  
...  
Keyword(s):  
Visual Inspection ◽  
Kidney Diseases ◽  
Periodic Acid ◽  
Needle Core Biopsy ◽  
Silver Stain ◽  
Periodic Acid Schiff ◽  
Tissue Sections ◽  
Biopsy Tissue ◽  
Hematoxylin And Eosin

AbstractPathology is practiced by visual inspection of histochemically stained tissue slides. While the hematoxylin and eosin (H&E) stain is most commonly used, special stains can provide additional contrast to different tissue components. Here, we demonstrate the utility of supervised learning-based computational stain transformation from H&E to special stains (Masson’s Trichrome, periodic acid-Schiff and Jones silver stain) using kidney needle core biopsy tissue sections. Based on the evaluation by three renal pathologists, followed by adjudication by a fourth pathologist, we show that the generation of virtual special stains from existing H&E images improves the diagnosis of several non-neoplastic kidney diseases, sampled from 58 unique subjects (P = 0.0095). A second study found that the quality of the computationally generated special stains was statistically equivalent to those which were histochemically stained. This stain-to-stain transformation framework can improve preliminary diagnoses when additional special stains are needed, also providing significant savings in time and cost.

Water content of rat adipose tissue and isolated adipocytes in relation to cell size

1976 ◽  
Vol 231 (5) ◽  
pp. 1568-1572 ◽  
Author(s):  
M DiGirolamo ◽  
JL Owens
Keyword(s):  
Adipose Tissue ◽  
Water Content ◽  
Cell Volume ◽  
Cell Size ◽  
Intracellular Water ◽  
Male Rats ◽  
Fat Cells ◽  
Fat Cell ◽  
Tissue Water ◽  
Adipose Mass

Epididymal adipose tissue composition and adipocyte water content were studied in male rats during growth and development of spontaneous obesity. The data show that a highly significant positive correlation exists between fat-cell volume and intracellular water space (IWS) (r=.967, P less than .001). Intracellular water, expressed as picoliters per fat cell, varied from 1.5-2 in small fat cells (mean vol, 30-50 pl) to 9-10 in large cells (800-1,000 pl). When expressed as percent of fat-cell volume, IWS varied from 5-7% in the small fat cells to 1-1.3% in the large ones. Total adipose tissue water continued to increase with increasing adipose mass. Similarly, total adipocyte water increased with enlarging cell size and tissue mass. The contribution of total adipocyte water (as contrasted to that of nonadipocyte water) to total tissue water, however, was found to be limited (less than 23%) and to decline progressively with adipose mass expansion.

scholarly journals A rapid immunological procedure for the isolation of hormonally sensitive rat fat-cell plasma membrane

1976 ◽  
Vol 154 (1) ◽  
pp. 11-21 ◽  
Author(s):  
J P Luzio ◽  
A C Newby ◽  
C N Hales
Keyword(s):  
Plasma Membrane ◽  
Adenylate Cyclase ◽  
Plasma Membranes ◽  
Membrane Preparation ◽  
Fat Cells ◽  
Fat Cell ◽  
Cell Plasma ◽  
Rat Fat Cells ◽  
Plasma Membrane Preparation ◽  
Isolated Rat

1. A rapid method for the isolation of hormonally sensitive rat fat-cell plasma membranes was developed by using immunological techniques. 2. Rabbit anti-(rat erythrocyte) sera were raised and shown to cross-react with isolated rat fat-cells. 3. Isolated rat fat-cells were coated with rabbit anti-(rat erythrocyte) antibodies, homogenized and the homogenate made to react with an immunoadsorbent prepared by covalently coupling donkey anti-(rabbit globulin) antibodies to aminocellulose. Uptake of plasma membrane on to the immunoadsorbent was monitored by assaying the enzymes adenylate cyclase and 5′-nucleotidase and an immunological marker consisting of a 125I-labelled anti-(immunoglobulin G)-anti-cell antibody complex bound to the cells before fractionation. Contamination of the plasma-membrane preparation by other subcellular fractions was also investigated. 4. By using this technique, a method was developed allowing 25-40% recovery of plasma membrane from fat-cell homogenates within 30 min of homogenization. 5. Adenylate cyclase in the isolated plasma-membrane preparation was stimulated by 5 μm-adrenaline.

scholarly journals Factors affecting the permeability of isolated fat-cells from the rat to [42K]potassium and [36Cl]chloride ions

1970 ◽  
Vol 117 (3) ◽  
pp. 615-621 ◽  
Author(s):  
M. C. Perry ◽  
C. N. Hales
Keyword(s):  
Initial Phase ◽  
Chloride Ions ◽  
Fat Cells ◽  
Adrenocorticotrophic Hormone ◽  
Isolated Fat Cells ◽  
Free Medium ◽  
Fat Cell ◽  
Factors Affecting ◽  
Exchange Diffusion ◽  
High K

1. The effluxes of 42K+ and 36Cl− from isolated fat-cells from the rat were studied under a variety of conditions known to affect the metabolism of the cells. 2. 42K+ efflux from isolated fat cells was increased in a Na+-free–high-K+ medium and decreased in a K+-free medium. The existence of K+ exchange diffusion across the fat-cell membrane is suggested. 3. 36Cl− efflux from isolated fat-cells was decreased when the Cl− component of the wash medium was replaced by acetate. The basal 36Cl− efflux is suggested to be partly by Cl− exchange diffusion and partly in company with a univalent cation. 4. A variety of lipolytic stimuli, adrenaline, adrenocorticotrophic hormone, N-6,O-2′-dibutyryladenosine cyclic 3′:5′-monophosphate and theophylline, increased 42K+ efflux from isolated fat-cells. The adrenaline stimulation was biphasic; an initial, rapid and transient increase in 42K+ loss from the fat-cells was followed by a slower, more prolonged, increase in 42K+ efflux. The initial phase was inhibited by phentolamine but not by propranolol. 5. Insulin increased 42K+ efflux only after preincubation with the cells.

scholarly journals Role of S-100 Immunostain as An Auxiliary Diagnostic Aid in Leprosy

2017 ◽  
Vol 56 (205) ◽  
pp. 141-144 ◽  
Author(s):  
Ramesh Dhakhwa ◽  
Sneh Acharya ◽  
Sailesh Pradhan ◽  
Sanju Babu Shrestha ◽  
Tomoo Itoh
Keyword(s):  
Erythema Nodosum ◽  
Lupus Vulgaris ◽  
Common Pattern ◽  
Tissue Sections ◽  
Histopathologic Diagnosis ◽  
S 100 ◽  
Skin Biopsies ◽  
Hematoxylin And Eosin ◽  
Hematoxylin And Eosin Stain

Introduction: Histopathologic diagnosis of leprosy is difficult when Bacillary Index (BI) is zero and neural involvement are not easily identifiable on routine Hematoxylin and Eosin stain. This study was undertaken to study the role of S-100 immunostaining in demonstrating different patterns of nerve involvement in various types of leprosy. Methods: Thirty one skin biopsies with clinico-histopathologic diagnoses of leprosy over a period of two years were included in the study. Ten cases of non-lepromatous granulomatous dermatoses (including eight cases of lupus vulgaris and two cases of erythema nodosum) were used as controls. Tissue sections from all cases and controls were stained with Hematoxylin and Eosin (H&E) stain, Fite stain and S-100 immunostain. The H&E stained slides were used to study the histopathological features, Fite stained slides for Bacillary Index and S-100 for nerve changes. Results: Neural changes could be demonstrated in the entire spectrum of leprosy using S-100 immunostaining. The most common pattern of nerve destruction in the tuberculoid spectrum was fragmented and infiltrated whereas lepromatous spectrum showed mostly fragmented nerve twigs. Intact nerves were not detected in any of the leprosy cases. Conclusions:  S-100 immunostain is a useful auxiliary aid to the routine  H&E stain in the diagnosis of leprosy especially tuberculoid spectrum and intermediate leprosy.  Keywords: bacillary index; leprosy; S-100 immunostain.

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