Evidence map›Paper›PMID 40314426›Full record

ArticleeLife2025

Aberration correction in long GRIN lens-based microendoscopes for extended field-of-view two-photon imaging in deep brain regions.

Andrea Sattin, Chiara Nardin, Simon Daste, Monica Moroni, Innem Reddy, Carlo Liberale, Stefano Panzeri, Alexander Fleischmann, Tommaso Fellin

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Projection-specific Routing of Odor Information in the Olfactory Cortex.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Andrea Sattin *Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy.ORCID https://orcid.org/0000-0002-1345-2204
Chiara Nardin *Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy.ORCID https://orcid.org/0000-0002-4084-4932
Simon DasteDepartment of Neuroscience and Carney Institute for Brain Science, Brown University, Providence, United States.
Monica MoroniNeural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy.
Innem ReddyBiological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Carlo LiberaleBiological and Environmental Sciences and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0002-5653-199X
Stefano PanzeriNeural Coding Laboratory, Istituto Italiano di Tecnologia, Genova and Rovereto, Italy.ORCID https://orcid.org/0000-0003-1700-8909
Alexander FleischmannDepartment of Neuroscience and Carney Institute for Brain Science, Brown University, Providence, United States.ORCID https://orcid.org/0000-0001-7956-9096
Tommaso FellinOptical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy.ORCID https://orcid.org/0000-0003-2718-7533

Funding

Odor Memory Traces in the Mouse Olfactory Cortex - SupplementR01DC017437 · NIDCD · BROWN UNIVERSITY · PI FLEISCHMANN, ALEXANDER · 2019 to 2023
$2.3M
European Commission NextGenerationEU FAIR PE0000013Horizon 2020 Framework Programme 10.3030/101016787NIDCD NIH HHS 1R01DC017437NIDCD NIH HHS R01 DC017437
6 · The paper itself

Abstract

Two-photon (2P) fluorescence imaging through gradient index (GRIN) lens-based endoscopes is fundamental to investigate the functional properties of neural populations in deep brain circuits. However, GRIN lenses have intrinsic optical aberrations, which severely degrade their imaging performance. GRIN aberrations decrease the signal-to-noise ratio (SNR) and spatial resolution of fluorescence signals, especially in lateral portions of the field-of-view (FOV), leading to restricted FOV and smaller number of recorded neurons. This is especially relevant for GRIN lenses of several millimeters in length, which are needed to reach the deeper regions of the rodent brain. We have previously demonstrated a novel method to enlarge the FOV and improve the spatial resolution of 2P microendoscopes based on GRIN lenses of length <4.1 mm (Antonini et al., 2020). However, previously developed microendoscopes were too short to reach the most ventral regions of the mouse brain. In this study, we combined optical simulations with fabrication of aspherical polymer microlenses through three-dimensional (3D) microprinting to correct for optical aberrations in long (length >6 mm) GRIN lens-based microendoscopes (diameter, 500 µm). Long corrected microendoscopes had improved spatial resolution, enabling imaging in significantly enlarged FOVs. Moreover, using synthetic calcium data we showed that aberration correction enabled detection of cells with higher SNR of fluorescent signals and decreased cross-contamination between neurons. Finally, we applied long corrected microendoscopes to perform large-scale and high-precision recordings of calcium signals in populations of neurons in the olfactory cortex, a brain region laying approximately 5 mm from the brain surface, of awake head-fixed mice. Long corrected microendoscopes are powerful new tools enabling population imaging with unprecedented large FOV and high spatial resolution in the most ventral regions of the mouse brain.

Indexed as

BrainEndoscopesLensesMicroscopy, Fluorescence, MultiphotonOptical ImagingAnimalsMiceNeuronsSignal-To-Noise Ratioaberration correctiondeep imaginggradient index lenseshigh-resolutionmouseneural circuitsneurosciencetwo-photon imaging

Identifiers

PMID40314426
PMCPMC12048154

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.