Neural Noise

In vivo patch-clamp trajectory planning in constrained cerebrovascular environment

2 min read

  • The patch-clamp technique is the gold standard for studying cellular and molecular mechanisms underlying mental activities at the animal level.1
  • Micropipette trajectory planning is critical during in vivo patch clamp but is highly constrained by the cerebral environment and limited 3D spatial information.1
  • Trajectory planning methods for micropipettes in the cerebrovascular environment enable safer, more reliable cellular-level electrophysiology.1 1

Weekly enrichment (2026-07-20)

  • The paper was published in IEEE Transactions on Biomedical Engineering (73(3):1268-1277, March 2026) by Jie Li, Zizhen Li, Mingzhu Sun and Xin Zhao at Nankai University.2 3
  • The core method builds a feasible navigable space from the 3D blood-vessel distribution reconstructed within a two-photon microscope’s field of view, then applies a trajectory potential field (TPF) to derive an optimized, obstacle-avoiding insertion path.2 4
  • Planning runs offline and completes within 8.56 seconds (8 seconds for vessel segmentation plus 0.56 seconds for the trajectory potential field), on top of roughly 30 seconds of image acquisition.4
  • Performance is scored with trajectory complexity (TC), trajectory length (TL), cross-sectional area / brain damage (CSA/BD), pipette insertion time, and blockage/pipette-broken counts.4
  • Across 5 in vitro trials the method held TC at zero with the shortest trajectory length, and recorded zero pipette breakages versus 2 of 5 for the conventional lateral-dodging approach, with insertion duration more than 4× faster.4
  • In vivo experiments used 6-week-old female C57BL/6J mice with an approximately 3 mm cranial window, two-photon laser power of 60-100 mW, 1% agarose gel to damp vessel fluctuation, and fluorescent dye delivered via tail-vein injection.4
  • In the in vivo evaluation the method kept TC=0 and a consistent trajectory length near 155.87 with brain-damage index near 155.86 and insertion time of about 9.7-10.8 seconds, versus the conventional method’s TC up to 2, TL up to 179, brain damage up to 972.8, and time up to 103 seconds with one blockage event.4 2
  • For context, prior automation work used closed-loop visual-servo two-photon targeting to compensate for tissue deformation during pipette approach, and resistance-based real-time localization to enable gigaseal formation without vision.5 6

Footnotes

  1. http://ieeexplore.ieee.org/document/11141347 ↩ ↩2 ↩3 ↩4

  2. https://doi.org/10.1109/tbme.2025.3602454 ↩ ↩2 ↩3

  3. https://researchr.org/publication/LiLSZ26 ↩

  4. https://romiol.nankai.edu.cn/Lijie-Trajectory_Planning_for_Patch_Clamp_in_a_Highly_Constrained_Cerebrovascular_Environment.pdf ↩ ↩2 ↩3 ↩4 ↩5 ↩6

  5. https://doi.org/10.1016/j.neuron.2017.08.018 ↩

  6. https://www.nature.com/articles/s41378-026-01325-x ↩

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