Nanostat – automated particle analysis for electron microscopy images

Hi folks, I built Nanostat, a web app that takes microscopy images, runs instance segmentation to identify individual particles and computes per-particle and summary statistics. Results are exportable as images/CSV. You can correct the segmentation directly in the browser (erase false positives or draw missed particles) and set a pixel to unit calibration so measurements are in real units. As far as I know, there's no widely available tool that does this end to end. The closest things are academic projects or ImageJ, which is more of a general purpose image processor without automatic particle detection. Nanostat handles the detection, measurement, and visualization in one place. Posting here on the off chance that there are microscopists that may be open to trying it out and giving some feedback. There's a live demo on the homepage with real electron microscopy data, where you can interact with the full workflow (eraser, overlays, histograms, metrics, etc.) without signing up. If you want to try your own images, there's a free tier

  • SaaS
  • 데이터 분석
  • 워크플로우 자동화

AI 요약

Nanostat is a web application that automates particle analysis from microscopy images using instance segmentation. It provides per-particle and summary statistics, with options for manual correction and real-unit calibration.

추천 대상

Electron microscopists, Materials scientists, Biologists

중요한 이유

Nanostat offers an end-to-end solution for automated particle detection, measurement, and visualization in microscopy images, distinguishing itself from general-purpose image processors.

주요 기능

  • Automated particle detection and instance segmentation in microscopy images
  • Per-particle and summary statistics computation
  • Interactive segmentation correction (erasing false positives, drawing missed particles)
  • Pixel to unit calibration for real-world measurements

사용 사례

  • A materials scientist uses Nanostat to analyze the size distribution and morphology of nanoparticles in SEM images, exporting the statistical data for a research publication.
  • A biologist employs Nanostat to quantify the number and area of cells in microscopy images, utilizing the interactive segmentation tools to refine the analysis of crowded samples.
  • A quality control engineer in a manufacturing setting uses Nanostat to inspect the uniformity of a coating by analyzing particle size and density from electron microscopy images, ensuring product consistency.