Scientists have developed a new, compact imaging device that is set to transform how we study the brain.<\/p>\n
The device marks a major step forward in transforming how neuroscientists study the brain. By enabling high-resolution, real-time imaging of brain activity in freely moving mice, the miniaturized microscope allows researchers to observe the relationship between neural activity and behavior with unprecedented detail.\u00a0<\/p>\n
This technological advance is expected to significantly deepen our understanding of brain function, providing critical insights into how perception, cognition, and behavior are intricately linked to underlying neural processes.<\/p>\n
Ultimately, these insights could inform the development of new therapeutic strategies for brain disorders,<\/a> potentially improving treatments and outcomes for human health.<\/p>\n Lensless camera reconstructs 3D objects using tiny lenslets<\/p>\n Building on his previous research, Weijian Yang, professor of electrical and computer engineering, and his team developed<\/a> DeepInMiniscope, a lensless camera capable of producing three-dimensional images from a single exposure. Instead of using a single bulky lens, the camera employs a thin mask embedded with dozens of tiny lenslets, each capturing a unique perspective of the same object.\u00a0<\/p>\n Advanced computational algorithms then combine these multiple perspectives to reconstruct a detailed 3D image, offering a compact and efficient approach to high-resolution imaging that could transform how researchers study complex structures.<\/p>\n Previous imaging systems performed well with large objects in low-scattering environments, such as robotic vision for assembling parts, but they struggled to capture the fine details of biological or biomedical<\/a> samples. In living tissue, light scattering is common, signal contrast is often low, and reconstructing intricate features across a large volume presents a significant computational challenge.\u00a0<\/p>\n DeepInMiniscope overcomes these limitations with a redesigned mask containing more than 100 miniaturized, high-resolution lenslets, paired with a novel neural network for image reconstruction. This approach allows the system to \u201csee\u201d through tissue, enabling detailed biomedical imaging without surgery or other invasive procedures.<\/p>\n Instantly capturing mouse neuronal activity<\/p>\n DeepInMiniscope uses a neural network that merges model-based iterative optimization with conventional deep learning. The resulting unrolled network consists of multiple stages, each acting like a mini-network that mimics one iteration of optimization.\u00a0<\/p>\n For Yang\u2019s microscope, the network instantly reconstructs high-resolution details across a large 3D volume, integrating data from all 100 lenslets into a single coherent image. Using this approach, Yang and his team have successfully recorded real-time neuronal activity in mice, capturing intricate brain processes with unprecedented clarity.<\/p>\n \u201cOur algorithm combines interpretability, efficiency, scalability and precision. It requires only a minimal amount of training data, yet it can robustly and accurately process large-scale datasets at high speed,\u201d explained Feng Tian, a postdoctoral researcher in Yang\u2019s lab and first author of the study.<\/p>\n