What do electron microscopes, immunofluorescence, and decellularization have in common with an artist’s palette? It displays and illuminates the aesthetic beauty and the magnanimity of the material which comprises our macroscopic world. One doesn’t have a trained scientist to grasp the beauty of an object with the zests of scientific inquiry. The hydroxyapatite crystal images captured used a scanning electron microscope and then adding a burst of colors in Photoshop conveys not only the power of electron microscopy, but also the oblivion that the organic and inorganic world share.
Since the development of the first compound microscope in the mid-sixteenth century, numerous scientists have joined forces to perfect their lenses using the technologies available at their disposal at that time. Perhaps more importantly, all the attributes of the early microscopes due to their primitiveness and the subsequent development of biological sciences, especially anatomy and botany have pushed the work of scientists to advance technology enough to realize and comprehend “the significance of the observations made.”
Artificial intelligence and Machine Learning makes great microscopes better than ever
- What could be a better catch than technology integration in healthcare facilities and infrastructure development? Artificial intelligence and machine learning makes the best microscopes work faster, see better, and process more data than ever
- Scientists are using a technique called light-field microscopy to observe the rapid neural signals in a fish brain, thus, making it possible to image such swift biological processes in 3D
- The AI algorithm has shortened the time image processing time, which earlier required days for the conversion of massive amounts of data into 3D volumes and ensuring that the resulting images are accurate and crisp
Related Blog @ Taking Rocks to the Clouds Under the Microscopic Lenses
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