ArticleBiomedical optics express2014
Image simulation for biological microscopy: microlith.
Article in Biomedical optics express, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Polarization differential interference contrast microscopy with physics-inspired plug-and-play denoiser for single-shot high-performance quantitative phase imaging.Biomedical optics express · 2023Article
- Implementation of free-space Fourier Ptychography with near maximum system numerical aperture.Optics express · 2022Article
- Robust surface-to-mass coupling and turgor-dependent cell width determine bacterial dry-mass density.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Particle Detection and Characterization for Biopharmaceutical Applications: Current Principles of Established and Alternative Techniques.Pharmaceutics · 2020Review
- Optical Projection Tomography Using a Commercial Microfluidic System.Micromachines · 2020Article
- Automatic optimal filament segmentation with sub-pixel accuracy using generalized linear models and B-spline level-sets.Medical image analysis · 2016Article
- DIC image reconstruction using an energy minimization framework to visualize optical path length distribution.Scientific reports · 2016Article
- Oufti: an integrated software package for high-accuracy, high-throughput quantitative microscopy analysis.Molecular microbiology · 2016Article
- Automatic neuron segmentation and neural network analysis method for phase contrast microscopy images.Biomedical optics express · 2015Article
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2 authors.
Funding
Abstract
Image simulation remains under-exploited for the most widely used biological phase microscopy methods, because of difficulties in simulating partially coherent illumination. We describe an open-source toolbox, microlith (https://code.google.com/p/microlith), which accurately predicts three-dimensional images of a thin specimen observed with any partially coherent imaging system, as well as images of coherently illuminated and self-luminous incoherent specimens. Its accuracy is demonstrated by comparing simulated and experimental bright-field and dark-field images of well-characterized amplitude and phase targets, respectively. The comparison provides new insights about the sensitivity of the dark-field microscope to mass distributions in isolated or periodic specimens at the length-scale of 10nm. Based on predictions using microlith, we propose a novel approach for detecting nanoscale structural changes in a beating axoneme using a dark-field microscope.
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