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Updated: Jun 10, 2025

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

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Experimental characterization of an isoplanatic patch in mouse cortex using adaptive optics.

Jean Commère¹, Marie Glanc¹, Laurent Bourdieu²

¹Observatoire de Paris, LESIA, 5 place Jules Janssen, 92195 Meudon cedex, France.

Biomedical Optics Express

|October 18, 2024

Summary

Adaptive optics (AO) improve microscopy image quality in thick tissues by correcting aberrations. This study measures the isoplanatic spot size, crucial for AO, finding it to be 20µm and independent of sample thickness.

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Area of Science:

Biological imaging
Optical microscopy
Biophysics

Background:

Optical microscopy is vital for biological studies but suffers from image degradation in thick tissues due to scattering and aberrations.
Adaptive optics (AO) techniques have been developed over 15 years to correct these issues and enhance image quality.
A critical parameter for AO is the isoplanatic dimension, defining the region of uniform image quality.

Purpose of the Study:

To develop and apply a method for measuring the isoplanatic dimension in biological samples.
To quantify anisoplanatism and intensity transmission using the proposed method.
To investigate the relationship between isoplanatic dimension and sample thickness.

Main Methods:

Development of a novel method to measure the isoplanatic dimension.
Application of the method to fixed mouse cortex slices of varying thicknesses.
Analysis of anisoplanatism and intensity transmission based on the measurements.

Main Results:

A typical mid-maximum width of 20µm was determined for the isoplanatic spot.
The measured isoplanatic spot size was found to be independent of the sample thickness.
The method allowed for the deduction of anisoplanatism and intensity transmission.

Conclusions:

The developed method effectively measures the isoplanatic dimension in biological tissues.
The isoplanatic dimension is a consistent 20µm, irrespective of sample thickness, providing crucial data for AO implementation.
This finding aids in optimizing AO strategies for high-resolution imaging in thick biological specimens.