Automated chondrocyte viability analysis of articular cartilage based on deep learning segmentation and classification of two-photon microscopic images

H Fan, P Xu, M Le, J Hsu, X Chen, Y Li… - Three-Dimensional …, 2022 - spiedigitallibrary.org
Chondrocyte viability is an important measure to consider when assessing cartilage health.
Dye-based cell viability assays are not suitable for in vivo or long-term studies. We have …

Deep learning provides high accuracy in automated chondrocyte viability assessment in articular cartilage using nonlinear optical microscopy

X Chen, Y Li, N Wyman, Z Zhang, H Fan… - Biomedical optics …, 2021 - opg.optica.org
Chondrocyte viability is a crucial factor in evaluating cartilage health. Most cell viability
assays rely on dyes and are not applicable for in vivo or longitudinal studies. We previously …

[HTML][HTML] Mask R-CNN provides efficient and accurate measurement of chondrocyte viability in the label-free assessment of articular cartilage

H Fan, P Xu, X Chen, Y Li, Z Zhang, J Hsu, M Le… - … and Cartilage Open, 2023 - Elsevier
Objective Chondrocyte viability (CV) can be measured with the label-free method using
second harmonic generation (SHG) and two-photon excitation autofluorescence (TPAF) …

Nonlabeling and quantitative assessment of chondrocyte viability in articular cartilage with intrinsic nonlinear optical signatures

Y Li, X Chen, B Watkins, N Saini… - Experimental …, 2020 - journals.sagepub.com
Chondrocyte viability is a crucial factor for evaluating cartilage health. Most prevalent cell
viability assays rely on dyes and are not applicable for in vivo or longitudinal studies. Here …

Nondestructive method for chondrocyte viability assessment in articular cartilage tissues with nonlinear optical microscopy

Y Li, B Watkins, E Nadeau, R Reeves… - … Microscopy in the …, 2019 - spiedigitallibrary.org
Covering the ends of long bones, articular cartilage provides a smooth, lubricated surface to
absorb impact and distribute loads during movement so that underlying bone is protected …

[HTML][HTML] Deep learning for chondrocyte identification in automated histological analysis of articular cartilage

L Yang, MC Coleman, MR Hines, PN Kluz… - The Iowa orthopaedic …, 2019 - ncbi.nlm.nih.gov
Background: Histology-based methods are commonly used in osteoarthritis (OA) research
because they provide detailed information about cartilage health at the cellular and tissue …

Deep learning classification of cartilage integrity using near infrared spectroscopy

IO Afara, JK Sarin, S Ojanen, M Finnila… - Optical Tomography …, 2018 - opg.optica.org
Deep Learning Classification of Cartilage Integrity Using Near Infrared Spectroscopy Page 1
JTu3A.27.pdf Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) …

Automated quantification of live articular chondrocyte fluorescent staining using a custom image analysis framework

L Yang, MJ Brouillette, MC Coleman… - Journal of …, 2022 - Wiley Online Library
The goal of this study was to develop, validate, and implement an image analysis framework
to automatically analyze chondrocytes in 3D image stacks of cartilage acquired using a …

In situ observation of cartilage matrix based on two-photon fluorescence microscopy

F Yang, X Ju, Y Zeng, X Tian, X Zhang, J Wang… - Biochemical and …, 2023 - Elsevier
Articular cartilage lesions remain a major challenge for clinicians and researchers. Several
techniques, such as histological scoring, magnetic resonance imaging, and tissue section …

Quantitative temporal interrogation in 3D of bioengineered human cartilage using multimodal label-free imaging

C Costa Moura, SA Lanham, T Monfort… - Integrative …, 2018 - academic.oup.com
The unique properties of skeletal stem cells have attracted significant attention in the
development of strategies for skeletal regeneration. However, there remains a crucial unmet …