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Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition
Research article (Scientific Reports, 2019) · cited 61× · AI/ML
Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition
Summary
Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition is a scholarly article[1].
Key Facts
Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition. Retrieved May 24, 2026, from https://4ort.xyz/entity/partially-spatially-coherent-digital-holographic-microscopy-and-machine-learning-for-quantitative-analysis-of-human-sper
MLA“Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/partially-spatially-coherent-digital-holographic-microscopy-and-machine-learning-for-quantitative-analysis-of-human-sper.
BibTeX@misc{4ortxyz_partially-spatially-coherent-digital-holographic-microscopy-and-machine-learning-for-quantitative-analysis-of-human-sper_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition}}, year = {2026}, url = {https://4ort.xyz/entity/partially-spatially-coherent-digital-holographic-microscopy-and-machine-learning-for-quantitative-analysis-of-human-sper}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition — https://4ort.xyz/entity/partially-spatially-coherent-digital-holographic-microscopy-and-machine-learning-for-quantitative-analysis-of-human-sper (retrieved 2026-05-24)
