Automated Quantification of Live Articular Chondrocyte Fluorescent Staining Using a Custom Image Analysis Framework

2021 ◽  
Author(s):  
Linjun Yang ◽  
Marc Brouillette ◽  
Mitchell C. Coleman ◽  
Paige N. Kluz ◽  
Jessica E. Goetz
Keyword(s):  
Image Analysis ◽  
Fluorescent Staining ◽  
Analysis Framework ◽  
Articular Chondrocyte ◽  
Automated Quantification

scholarly journals Automated Digital Quantification of Pulmonary Fibrosis in Human Histopathology Specimens

2021 ◽  
Vol 8 ◽  
Author(s):  
Lauren C. Testa ◽  
Yvon Jule ◽  
Linnea Lundh ◽  
Karine Bertotti ◽  
Melissa A. Merideth ◽  
...  
Keyword(s):  
Image Analysis ◽  
Pulmonary Fibrosis ◽  
Digital Image ◽  
Collagen Content ◽  
Serial Sections ◽  
Automated Quantification ◽  
Entire Lung ◽  
Lung Histopathology ◽  
Fibrotic Lung Disease ◽  
Picrosirius Red

Pulmonary fibrosis is characterized by abnormal interstitial extracellular matrix and cellular accumulations. Methods quantifying fibrosis severity in lung histopathology samples are semi-quantitative, subjective, and analyze only portions of sections. We sought to determine whether automated computerized imaging analysis shown to continuously measure fibrosis in mice could also be applied in human samples. A pilot study was conducted to analyze a small number of specimens from patients with Hermansky-Pudlak syndrome pulmonary fibrosis (HPSPF) or idiopathic pulmonary fibrosis (IPF). Digital images of entire lung histological serial sections stained with picrosirius red and alcian blue or anti-CD68 antibody were analyzed using dedicated software to automatically quantify fibrosis, collagen, and macrophage content. Automated fibrosis quantification based on parenchymal tissue density and fibrosis score measurements was compared to pulmonary function values or Ashcroft score. Automated fibrosis quantification of HPSPF lung explants was significantly higher than that of IPF lung explants or biopsies and was also significantly higher in IPF lung explants than in IPF biopsies. A high correlation coefficient was found between some automated quantification measurements and lung function values for the three sample groups. Automated quantification of collagen content in lung sections used for digital image analyses was similar in the three groups. CD68 immunolabeled cell measurements were significantly higher in HPSPF explants than in IPF biopsies. In conclusion, computerized image analysis provides access to accurate, reader-independent pulmonary fibrosis quantification in human histopathology samples. Fibrosis, collagen content, and immunostained cells can be automatically and individually quantified from serial sections. Robust automated digital image analysis of human lung samples enhances the available tools to quantify and study fibrotic lung disease.

scholarly journals Associative image analysis: A method for automated quantification of 3D multi-parameter images of brain tissue

2008 ◽  
Vol 170 (1) ◽  
pp. 165-178 ◽  
Author(s):  
Christopher S. Bjornsson ◽  
Gang Lin ◽  
Yousef Al-Kofahi ◽  
Arunachalam Narayanaswamy ◽  
Karen L. Smith ◽  
...  
Keyword(s):  
Image Analysis ◽  
Brain Tissue ◽  
Automated Quantification

scholarly journals Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes

2018 ◽  
Vol 191 ◽  
pp. 208-231 ◽  
Author(s):  
Javier Cardona ◽  
Carla Ferreira ◽  
John McGinty ◽  
Andrew Hamilton ◽  
Okpeafoh S. Agimelen ◽  
...  
Keyword(s):  
Particle Size ◽  
Image Analysis ◽  
Analysis Framework ◽  
Size And Shape ◽  
Particle Size And Shape

scholarly journals In‐situ 4D tomography image analysis framework to follow sintering within 3D printed glass scaffolds

2021 ◽  
Author(s):  
A. I. Kondarage ◽  
G. Poologasundarampillai ◽  
A. Nommeots‐Nomm ◽  
P.D. Lee ◽  
T.D. Lalitharatne ◽  
...  
Keyword(s):  
Image Analysis ◽  
Analysis Framework ◽  
Tomography Image ◽  
3D Printed

scholarly journals A Robust Actin Filaments Image Analysis Framework

2016 ◽  
Vol 12 (8) ◽  
pp. e1005063 ◽  
Author(s):  
Mitchel Alioscha-Perez ◽  
Carine Benadiba ◽  
Katty Goossens ◽  
Sandor Kasas ◽  
Giovanni Dietler ◽  
...  
Keyword(s):  
Image Analysis ◽  
Actin Filaments ◽  
Analysis Framework
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