computational modelling and machine learning

Stages

1. 1.
   Optogenetic actuation setup(functional_characterization)

   This stage provides the actuation arm of all-optical electrophysiology.

   Selection: Establish contactless, cell-selective cardiac actuation using light-sensitive ion channels and pumps.

2. 2.
   Optical mapping readout(functional_characterization)

   This stage provides the sensing arm needed to analyze cardiac activity and arrhythmias.

   Selection: Measure cardiac activity with fluorescent probes and high-speed cameras.

3. 3.
   Integrated all-optical electrophysiology(confirmatory_validation)

   The review identifies the merger of optogenetics and optical mapping as the key step that enables contactless actuation and sensing together.

   Selection: Combine optical actuation and optical sensing in one framework.

4. 4.
   Ex vivo and in vivo translational demonstration(in_vivo_validation)

   The abstract uses ex vivo imaging and in vivo pacing as evidence that the field is narrowing the gap toward clinical use.

   Selection: Demonstrate all-optical imaging ex vivo and reliable optogenetic pacing in vivo.

5. 5.
   Motion-aware and computational enhancement(secondary_characterization)

   The review highlights motion tracking as reducing a key optical mapping limitation and computation as helping analyze complex data and optimize strategies.

   Selection: Use motion tracking, computational modelling, and machine learning to improve optical technique performance and analysis.

6. 6.
   Implantable closed-loop optoelectronic deployment(decision_gate)

   The review frames implantable optoelectronic systems as a therapeutic endpoint enabled by hardware miniaturization and biocompatibility.

   Selection: Translate optical electrophysiology into implantable pacemaker and defibrillator systems with miniaturized, biocompatible illumination and circuitry.

Steps

1. 1.
   Establish light-based cardiac actuationactuation modality

   Provide contactless, cell-selective control of cardiac electrophysiology.

   Actuation is required before a combined all-optical system can perturb cardiac electrophysiology.

2. 2.
   Acquire optical electrophysiology readoutsensing modality

   Measure cardiac activity, including electrical signals, calcium dynamics, and metabolism.

   Readout is needed so that the effects of optical actuation can be observed and analyzed.

3. 3.
   Combine optical actuation and sensingintegrated all-optical system

   Enable contactless actuation and sensing in one cardiac electrophysiology workflow.

   The review explicitly presents the merger of optogenetics and optical mapping as the key integrative advance after the individual modalities are established.

4. 4.
   Demonstrate ex vivo imaging and in vivo pacingtranslational validation

   Show that all-optical imaging works ex vivo and that optogenetic pacing can be reliable in vivo.

   The abstract uses these demonstrations as later-stage evidence that the field is moving toward clinical use.

5. 5.
   Improve analysis with motion tracking and computationanalysis enhancement

   Reduce dependence on motion uncoupling and improve analysis of complex optical data.

   These methods are described as enhancements that address practical bottlenecks after optical data acquisition is in place.

6. 6.
   Advance toward implantable closed-loop devicestherapeutic deployment platform

   Translate optical electrophysiology into implantable pacemaker and defibrillator systems.

   The review presents implantable closed-loop optoelectronics as a downstream therapeutic direction enabled by prior optical and computational advances.