Unlabeled Far-Field Deeply Subwavelength Topological Microscopy (DSTM).

Area of Science:

• Optics
• Nanotechnology
• Biomedicine

Background:

• Current far-field optical microscopy is limited by the diffraction limit (λ/2).
• Nanometer-scale resolution is crucial for advancements in biomedicine and nanotechnology.

Purpose of the Study:

• Introduce a new microscopy technique for nonintrusive, far-field imaging at the nanometer scale.
• Demonstrate resolution significantly beyond the conventional diffraction limit.

Main Methods:

• Utilizing light with deeply subwavelength singularity features for illumination.
• Reconstructing object structures via a neural network trained on scattering patterns.
• Numerical experiments and proof-of-principle experimental validation.

Main Results:

• Achieved resolving powers better than λ/200 in numerical experiments.
• Demonstrated tolerance to noise and compatibility with low dynamic range detectors.
• Experimental confirmation showed resolution five-fold better than the diffraction limit.

Conclusions:

• The developed deep learning microscopy (DLSM) surpasses the diffraction limit for nanometer-scale imaging.
• The technique is robust, adaptable to various object shapes, and efficient for specific applications.
• Potential applications include machine vision, smart manufacturing, and life sciences particle counting.