Integrating AI with super-resolution microscopy for advancements in cellular biology
Originally published by Deborah Acheampong, Simon Fraser University, on December 11, 2023 MCS-DETECT captures MERC changes induced by RRBP1 knockdown. In 2014, the Nobel Prize in Chemistry celebrated the breakthroughs in super-resolution microscopy , a technology that allows us to capture highly detailed images of small parts of cells using fluorescent microscopy. Despite its success, the resolution of super-resolution microscopy still can't show tiny distances between organelles in cells.organelles This gap is where Artificial Intelligence (AI) and Biomedical Computer Vision intersect , as researchers from SFU Computing Science and UBC School of Biomedical Engineering and Life Sciences Institute reveal how AI enhances super-resolution microscopy capabilities and contributes to cellular biology advancements. Their mission is clear: to overcome the limitations of hardware (super-resolution microscopy) through innovative algorithms (AI) . Their latest work, pu