Optical imaging and spectroscopic methods are instrumental in visualizing macromolecular complexes, organelles, cells, tissues, organs, and entire organisms. The continuous advancement in imaging technologies, coupled with the integration of sophisticated molecular and cellular biology techniques, has dramatically enhanced sensitivity, specificity, information content, and spatiotemporal resolution of diagnostic and research imaging modalities. This progress facilitates in-depth exploration of cellular behavior at biomolecular detail and realistic timescales, physiological and pathophysiological mechanisms, and therapeutic interventions. Moreover, automated image processing and machine learning algorithms have emerged as indispensable tools for analyzing large datasets efficiently.
In recognition of this important field, BMC Methods launched this Collection which encouraged submissions including but not limited to those addressing:
- Advanced imaging modalities: Developments in imaging techniques, including super-resolution microscopy, single-molecule fluorescence spectroscopy outside and inside cells, multi-modal imaging, 3D microscopy and hybrid approaches.
- Molecular probes: Design and evaluation of molecular probes used to investigate molecular targets, their functions, and dynamics.
- Image analysis and data integration: Innovative methodologies for image analysis, AI and deep learning algorithms for high throughput processing.
- Live-cell imaging methodologies and imaging systems enabling improvement in time resolution.
- Quantitative imaging: Approaches for quantifying cellular and molecular events, including biomarker quantification and kinetic modeling.
- Genetically engineered models: Strategies for creating optimized genetically modified organisms, cell lines, and animal models.
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