Dresden 2026 – scientific programme

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BP: Fachverband Biologische Physik

BP 14: Poster Session II

BP 14.78: Poster

Tuesday, March 10, 2026, 18:00–21:00, P2

Sparse sampling in single molecule spectroscopy — •Sebastian Stadler and Markus Lippitz — Universitätsstraße 30, 95447 Bayreuth

Single-molecule spectroscopy (SMS) is fundamentally limited by photobleaching, leaving only a short time window to record spectra from individual emitters. These constraints motivate measurement strategies that extract maximal information from minimal data. Sparse sampling provides a compelling alternative to traditional Fourier spectroscopy, which requires dense, uniformly spaced measurements to satisfy the Nyquist condition. In contrast to traditional Fourier spectroscopy, sparse or sub-Nyquist sampling enables accurate spectral reconstruction from substantially reduced datasets.

In this theoretical study, we explore optimized sparse sampling strategies using simulated single-molecule spectra. By systematically varying sampling patterns, we identify regimes and procedures in which sparse acquisition offers significant gains in efficiency without compromising spectral fidelity. As a conceptual example of such optimized strategies, we discuss the pathway toward sampling optimization based on ensemble spectra and adaptive sampling approaches that iteratively adjust measurement points based on previously obtained information.

Our results outline design principles for efficient measurement protocols and highlight the potential of sparse acquisition to push SMS beyond traditional limits imposed by photobleaching and limited interrogation time.

Keywords: Sparse sampling; Single molecule Spectroscopy (SMS); Fourier transform spectroscopy; Sub-nyquist sampling