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Annals of Biomedical Engineering
|
May 29, 2016
Near Infrared Spectroscopic Mapping of Functional Properties of Equine Articular Cartilage
Jaakko K Sarin, Michael Amissah, Harold Brommer, et al.
Scientific Data
|
September 1, 2019
Dataset on equine cartilage near infrared spectra, composition, and functional properties
Jaakko K Sarin, Jari Torniainen, Mithilesh Prakash, et al.
Acta of Bioengineering and Biomechanics
|
February 12, 2013
The role of lamellate phospholipid bilayers in lubrication of joints
Zenon Pawlak, Wiesław Urbaniak, Adam Gadomski, et al.
Scientific Reports
|
April 12, 2019
Impact of Nanoparticle Uptake on the Biophysical Properties of Cell for Biomedical Engineering Applications
Md Alim Iftekhar Rasel, Sanjleena Singh, Trung Dung Nguyen, et al.
Analytica Chimica Acta
|
March 31, 2020
Open-source python module for automated preprocessing of near infrared spectroscopic data
Jari Torniainen, Isaac O Afara, Mithilesh Prakash, et al.
Scientific Reports
|
September 8, 2017
Combination of optical coherence tomography and near infrared spectroscopy enhances determination of articular cartilage composition and structure
Jaakko K Sarin, Lassi Rieppo, Harold Brommer, et al.
Journal of Biomedical Optics
|
September 23, 2024
Relationship between depth-wise refractive index and biomechanical properties of human articular cartilage
Bilour Khan, Ervin Nippolainen, Fatemeh Shahini, et al.
Annals of Biomedical Engineering
|
April 18, 2020
Near Infrared Spectroscopy Enables Differentiation of Mechanically and Enzymatically Induced Cartilage Injuries
Ervin Nippolainen, Rubina Shaikh, Vesa Virtanen, et al.
Biointerphases
|
January 6, 2016
Tribological efficacy and stability of phospholipid-based membrane lubricants in varying pH chemical conditions
Zenon Pawlak, Wieslaw Urbaniak, Isaac O Afara, et al.
Biomedical Optics Express
|
December 7, 2020
Tissue optical properties combined with machine learning enables estimation of articular cartilage composition and functional integrity
Iman Kafian-Attari, Ervin Nippolainen, Dmitry Semenov, et al.
Page
of 7
Search research articles
Search
Showing results (11-20 of 68) with videos related to
Sort By:
Page
of 7
Annals of Biomedical Engineering
|
May 29, 2016
Near Infrared Spectroscopic Mapping of Functional Properties of Equine Articular Cartilage
Jaakko K Sarin, Michael Amissah, Harold Brommer, et al.
Scientific Data
|
September 1, 2019
Dataset on equine cartilage near infrared spectra, composition, and functional properties
Jaakko K Sarin, Jari Torniainen, Mithilesh Prakash, et al.
Acta of Bioengineering and Biomechanics
|
February 12, 2013
The role of lamellate phospholipid bilayers in lubrication of joints
Zenon Pawlak, Wiesław Urbaniak, Adam Gadomski, et al.
Scientific Reports
|
April 12, 2019
Impact of Nanoparticle Uptake on the Biophysical Properties of Cell for Biomedical Engineering Applications
Md Alim Iftekhar Rasel, Sanjleena Singh, Trung Dung Nguyen, et al.
Analytica Chimica Acta
|
March 31, 2020
Open-source python module for automated preprocessing of near infrared spectroscopic data
Jari Torniainen, Isaac O Afara, Mithilesh Prakash, et al.
Scientific Reports
|
September 8, 2017
Combination of optical coherence tomography and near infrared spectroscopy enhances determination of articular cartilage composition and structure
Jaakko K Sarin, Lassi Rieppo, Harold Brommer, et al.
Journal of Biomedical Optics
|
September 23, 2024
Relationship between depth-wise refractive index and biomechanical properties of human articular cartilage
Bilour Khan, Ervin Nippolainen, Fatemeh Shahini, et al.
Annals of Biomedical Engineering
|
April 18, 2020
Near Infrared Spectroscopy Enables Differentiation of Mechanically and Enzymatically Induced Cartilage Injuries
Ervin Nippolainen, Rubina Shaikh, Vesa Virtanen, et al.
Biointerphases
|
January 6, 2016
Tribological efficacy and stability of phospholipid-based membrane lubricants in varying pH chemical conditions
Zenon Pawlak, Wieslaw Urbaniak, Isaac O Afara, et al.
Biomedical Optics Express
|
December 7, 2020
Tissue optical properties combined with machine learning enables estimation of articular cartilage composition and functional integrity
Iman Kafian-Attari, Ervin Nippolainen, Dmitry Semenov, et al.
Page
of 7