A Critical Review of Modern Biological Techniques in Science Laboratory Technology

The rapid evolution of biological laboratory technologies is reshaping the interface between
theoretical knowledge and practical application in science laboratory technology. This
comprehensive literature review synthesizes recent advancements across six interconnected
domains: high-throughput automated sample preparation, CRISPR-based molecular diagnostics,
microfluidic organ-on-a-chip platforms, multi-omics integration, artificial intelligence (AI)-driven
analytical tools, and accelerated evolutionary engineering. Drawing exclusively on peer-reviewed
literature published between 2024 and 2026, this review critically evaluates the technological
innovations transforming contemporary laboratory practice while identifying persistent challenges
in standardization, reproducibility, clinical translation, and workforce preparedness. The analysis
reveals that while automation, miniaturization, and AI integration have significantly enhanced
analytical throughput, precision, and data interpretation capabilities, the translation of these
technologies into routine laboratory workflows remains constrained by infrastructure limitations,
interoperability gaps, and the absence of harmonized quality assurance frameworks. Through
comparative analysis and critical evaluation of the evidence base, this review provides a framework
for understanding the current state of biological laboratory technology and outlines priorities for
future research, education, and policy development.

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Chen, H., Zhang, L., Wang, Y., & Liu, X. (2025). Recent progress in high-performance sample
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Chen, Y., Li, W., & Zhou, F. (2025). Deep learning for high-content screening: Advances and
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Declerck, L., Bouchon, F., Demeester, W., Guidi, C., & De Mey, M. (2026). Accelerated adaptive
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