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I recently read “Why Scientists are Turning to Rust” and found myself disagreeing with its core premise. At same time, there is also a broader pattern in the “Python vs. Rust” claiming that Rust is the future of scientific area–for Python+C/Fortran is current optimal–discourse that fundamentally misunderstands how scientific computing actually works.

I recently read the paper “Practical Guide to Automated TEM Image Analysis for Increased Accuracy and Precision in the Measurement of Particle Size and Morphology.” In Figure 8, the spherical nanoparticles appear as faintly overlapping circles,

which immediately brought to mind the Hough Circle detection algorithm. By voting in the circle parameter space, Hough Circle can pick out weak or partially obscured arcs and thus avoid lumping overlapping particles into a single object.