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When the Camera Is a Computer: Computational Life Sciences Imaging

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Scientific cameras have steadily progressed toward the physical limits of detection, under constant pressure to improve their ability to quantify and extract more information. Now, high-speed, high-resolution cameras are proving exceptionally versatile, offering near-perfect sensitivity.

ROBERT LABELLE, PHOTOMETRICS and QIMAGING

Sensors and cameras continue to progress, although life sciences imaging remains far from perfect. Even in its current state, barriers still exist. These include signal photon noise, light scattering, optical blur of finite aperture imaging systems and others. Versatile high-speed, high-resolution systems are overcoming these and other challenges, moving microscopy into a diagnostic role. Figure 1. PrimeEnhance, a nonlocal patch-based imaging method, leverages similarity in images. A patch (blue) centered on the current pixel being denoised (green) is compared to patches in the...Read full article

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