Home ›
Entities
› academia
› A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images
A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images
Research article (Biosensors and Bioelectronics, 2023) · cited 13× · AI/ML
A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images
Summary
A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images is a scholarly article[1].
Key Facts
A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-computer-vision-and-residual-neural-network-resnet-combined-method-for-automated-and-accurate-yeast-replicative-aging-
MLA“A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-computer-vision-and-residual-neural-network-resnet-combined-method-for-automated-and-accurate-yeast-replicative-aging-.
BibTeX@misc{4ortxyz_a-computer-vision-and-residual-neural-network-resnet-combined-method-for-automated-and-accurate-yeast-replicative-aging-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images}}, year = {2026}, url = {https://4ort.xyz/entity/a-computer-vision-and-residual-neural-network-resnet-combined-method-for-automated-and-accurate-yeast-replicative-aging-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images — https://4ort.xyz/entity/a-computer-vision-and-residual-neural-network-resnet-combined-method-for-automated-and-accurate-yeast-replicative-aging- (retrieved 2026-05-24)
