SLAS Technology - SAGE - Impact Factor

About: SLAS Technology is a leading journal published by SAGE that focuses on the innovative use of technology in the life sciences. It provides a platform for researchers, engineers, and practitioners to disseminate their latest findings and advancements in laboratory automation, instrumentation, and methodologies that improve the speed, efficiency, and accuracy of scientific research.
Publication Types:
Research Articles: Detailed papers presenting original research contributions in the application of technology in the life sciences.
Review Articles: Comprehensive reviews that summarize the current state-of-the-art in specific areas of laboratory automation and technology.
Technical Notes: Brief reports on new technologies, methodologies, or significant improvements to existing techniques.
Case Studies: Practical applications of innovative technologies in real-world laboratory settings.
Impact and Contribution:
SLAS Technology plays a crucial role in advancing the integration of technology in the life sciences. By publishing high-quality research and fostering collaboration among scientists, engineers, and technologists, the journal contributes to the development of new tools and methods that drive innovation in scientific research. The journal impact extends to various fields, including drug discovery, diagnostics, biotechnology, and environmental science.

Scope: SLAS Technology is an international journal dedicated to publishing high-quality research articles, reviews, and technical notes on innovative technologies for life sciences research and development. The journal focuses on the application of technology in automation, instrumentation, and methodologies that advance the science and practice of laboratory automation.
The scope of the journal includes, but is not limited to, the following areas:
Automation and Robotics:
Development and application of robotic systems
Automated workflows and systems integration
High-throughput screening and high-content screening
Automation in genomics, proteomics, and metabolomics
Instrumentation and Devices:
Design and development of novel instruments
Miniaturization and microfluidics
Lab-on-a-chip technologies
Sensors and biosensors
Imaging and detection technologies
Assay Development and Screening:
Innovative assay design and validation
Advances in screening methodologies
Data analysis and interpretation in high-throughput experiments
Applications in drug discovery and development
Bioinformatics and Data Management:
Computational tools for laboratory automation
Data integration and management
Machine learning and artificial intelligence in lab automation
Big data analytics in life sciences research