A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic …
Q Xiao, Y Wang, J Fan, Z Yi, H Hong, X Xie… - Biosensors and …, 2024 - Elsevier
With the rapid development of microfluidic platforms in high-throughput single-cell culturing,
laborious operation to manipulate massive budding yeast cells (Saccharomyces cerevisiae) …
laborious operation to manipulate massive budding yeast cells (Saccharomyces cerevisiae) …
Nutrition and stem cell integrity in aging
Adult stem cells (SCs) represent the regenerative capacity of organisms throughout their
lifespan. The maintenance of robust SC populations capable of renewing organs and …
lifespan. The maintenance of robust SC populations capable of renewing organs and …
[HTML][HTML] Identification of discriminant features from stationary pattern of nucleotide bases and their application to essential gene classification
Introduction: Essential genes are essential for the survival of various species. These genes
are a family linked to critical cellular activities for species survival. These genes are coded …
are a family linked to critical cellular activities for species survival. These genes are coded …
Modeling aging and its impact on cellular function and organismal behavior
E Santiago, DF Moreno, M Acar - Experimental Gerontology, 2021 - Elsevier
Aging is a complex phenomenon of functional decay in a biological organism. Although the
effects of aging are readily recognizable in a wide range of organisms, the cause (s) of aging …
effects of aging are readily recognizable in a wide range of organisms, the cause (s) of aging …
[HTML][HTML] Complementary performances of convolutional and capsule neural networks on classifying microfluidic images of dividing yeast cells
Microfluidic-based assays have become effective high-throughput approaches to examining
replicative aging of budding yeast cells. Deep learning may offer an efficient way to analyze …
replicative aging of budding yeast cells. Deep learning may offer an efficient way to analyze …
A digital microfluidic single-cell manipulation system optimized by extending-depth-of-field device
Q Chen, Q Meng, Y Liu, X Long, Y Kong… - Journal of Innovative …, 2023 - World Scientific
Microfluidic systems have been widely utilized in high-throughput biology analysis, but the
difficulties in liquid manipulation and cell cultivation limit its application. This work has …
difficulties in liquid manipulation and cell cultivation limit its application. This work has …
[HTML][HTML] Protein interaction potential landscapes for yeast replicative aging
We proposed a novel interaction potential landscape approach to map the systems-level
profile changes of gene networks during replicative aging in Saccharomyces cerevisiae …
profile changes of gene networks during replicative aging in Saccharomyces cerevisiae …
The Emergent Aging Model: Aging as an Emergent Property of Biological Systems
H Qin - arXiv preprint arXiv:2407.05226, 2024 - arxiv.org
Based on the study of cellular aging using the single-cell model organism of budding yeast
and corroborated by other studies, we propose the Emergent Aging Model (EAM). EAM …
and corroborated by other studies, we propose the Emergent Aging Model (EAM). EAM …
The effect of Gaussian noise on maximum likelihood fitting of Gompertz and Weibull mortality models with yeast lifespan data
Background/study context: Empirical lifespan data sets are often studied with the best-fitted
mathematical model for aging. Here, we studied how experimental noises can influence the …
mathematical model for aging. Here, we studied how experimental noises can influence the …
Application Note: μPolar-An Interactive 2D Visualization Tool for Time-Series Microscopic Images
Time-lapse microscopy is an effective research tool to monitor cell behavior and cell
divisions. Recent advances in microfluidics have accelerated the adoption of time-lapse …
divisions. Recent advances in microfluidics have accelerated the adoption of time-lapse …