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Bioinformatics
Bioimage analysis, an essential and emerging field in biological research, overcomes the limitations of subjective microscopy analysis through the development and implementation of quantitative and reproducible methodologies.
The computational analysis of image data generated via microscopy is a relatively recent advancement in the extensive history of light microscopy for biological discovery. Historically, scientists have depended on the human visual system to interpret biological images, a method ill-suited for reproducible quantification.
Research scientists in this domain primarily engage in image analysis within the context of biomedical research. This interdisciplinary field necessitates expertise in cell biology, image analysis, and computer programming. This generally involves devising pipelines of analysis to extract data from microscopy-acquired images.
Owing to the specialised nature of biomedical research, bioimage analysis often demands a high level of domain-specific and technical knowledge. Researchers in this field must not only be proficient in their own discipline of image analysis, which includes areas such as computer vision, image processing, statistics and computer science, but also possess an understanding of microscopy, sample preparation, and the cell biology associated to their projects. Due to this combination of skills, BIOINIC students will possess all the requisite competencies to excel in this career.