Towards automatically controlled dosing for selective laser trabeculoplasty

Katharina Bliedtner*, Eric Seifert, Ralf Brinkmann

*Corresponding author for this work
2 Citations (Scopus)


Purpose: Selective laser trabeculoplasty (SLT) is a treatment option for open-angle glaucoma; however, it lacks an instant evidence for successful irradiation. So far ophthalmologists use the visible appearance of permanent champagnelike bubbles (macro bubbles) as an indicator for appropriate pulse energy. We hypothesize that micro bubbles, which start energetically far below the appearance of macro bubbles, already trigger the therapeutic benefit. Here we present two methods to capture the onset of these micro bubbles. Methods: The trabecular meshwork of freshly enucleated porcine eye globes was irradiated with a series of 15 pulses with a pulse duration of 1.7 μs and with increasing energy at a repetition rate of 100 Hz per each spot of 200 μm in diameter. An optical and an optoacoustic method have been developed and appropriate algorithms investigated towards the real-time detection of the onset of micro bubbles. Results: Both observation methods are capable of detecting micro bubble nucleation. Threshold radiant exposures were found at 310 6 137 mJ/cm2. By combination of both methods a sensitivity and specificity of 0.96 was reached. Conclusions: In case that the therapeutically demanded pressure reduction is already achieved with these micro bubbles, which needs to be proven clinically, then the methods presented here can be used in an automatic feedback loop controlling the laser irradiation. This will unburden the clinicians from any dosing during SLT. Translational Relevance: Automatic real-time pulse energy dosing based on the formation of micro bubbles in SLT significantly improves and facilitates the treatment for the physician.

Original languageEnglish
Article number24
JournalTranslational Vision Science and Technology
Issue number6
Publication statusPublished - 12.2019

Research Areas and Centers

  • Academic Focus: Biomedical Engineering


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