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28 March 2024 Special Section Guest Editorial: Frontiers in Neurophotonics
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Abstract

The editorial presents the two-part Special Section on Frontiers in Neurophotonics.

We are pleased to present an exciting collection of papers under the umbrella of a two-part Special Section on Frontiers in Neurophotonics. This Special Section, appearing in Neurophotonics Volume 10 Issue 4 and Volume 11 Issue 1, was inspired by the Frontiers in Neurophotonics Symposium that was held in October 2022 in Québec City, Canada (Fig. 1). This symposium was the sixth in a series of international conferences dedicated to the new frontiers in microscopy and neuroscience, co-organized by Université de Bordeaux and Université Laval.

Fig. 1

Québec City. Photo courtesy of Jacques Morissette.

NPh_11_1_014401_f001.png

The symposium brought together leading developers and users of advanced optical approaches to study brain functions--from receptor dynamics in synapses, to activity of neural circuits in intact brains, and the development of innovative approaches that can lead to new clinical and therapeutic opportunities. The present collection of papers reflects the broad scope of the meeting.

On the instrumentation side, we feature a primary research paper by Bancelin et al. on pushing super-resolution microscopy into imaging deeper inside the brain in vivo.1 With help of a spatial light modulator to overcome optical aberrations, the authors visualize dendritic spines in the hippocampus of a living mouse with an unprecedented level of detail. Another formidable challenge for in vivo imaging is the miniaturization of multiphoton microscopes to allow high-resolution, depth-resolved imaging of brain activity in freely moving animals, as outlined in a perspective article by Klioutchnikov and Kerr.2

A central focus of the Frontiers in Neurophotonics meeting is imaging of synaptic function. A primer by MacGillavry3 introduces the CRISPR/Cas9 genome editing method for fluorescent labeling of endogenous proteins such as postsynaptic density protein, 95 (PSD-95), for studies of synaptic plasticity. A perspective by Perrais et al. tackles the same topic with the use of pH-sensitive fluorescent proteins to visualize endo- and exocytosis of membrane receptors.4 In addition to imaging, manipulation of synaptic activity is critical for understanding of the underlying biological mechanisms. To that end, Caya-Bissonnette and Béïque discuss uncaging of glutamate and other photoactivation methods.5 These methods are paralleled by the development and improvement of tools for high-resolution imaging ex vivo, such as the multicolor super-resolution expansion microscopy—the focus of perspective article by Eilts et al.,6 which is featured on the cover of Volume 10 Issue 4.

The development of new and improved neurophotonic technologies necessitates new tools for data analysis and computational modeling. In this Special Section, we feature a primary research paper by Davoudi et al. that describes a computational model for correction of thermal fluorescence transients induced by ultrasound neuromodulation.7 In a perspective article by Bouchard et al., the authors discuss the challenges and possible mitigating strategies related to application of machine learning methods to optical datasets with insufficient amount of labeled data for efficient learning.8 Another perspective is focused on the problem of the association of pre- and postsynaptic proteins in super-resolution microscopy.9 Finally, combining neurophotonic data across individual labs and disjoint datasets often requires a standard coordinate system for mapping of neurons and projections. A perspective by Légaré et al. discusses this need in the context of sharing and integrating the larval zebrafish neurophotonic data.10

The rapidly expanding arsenal of neurophotonics tools enables novel biological applications. A review by Tanguay et al. summarizes the progress made in the development of biosensors for neurotransmitter noradrenaline that have given neuroscientists a novel view of the rodent brain during behavior.11 Another review by Foubert et al. focuses on the impact of calcium imaging in understanding the significance of astrocytic activity in the visual system development.12 Finally, a perspective by Doney et al. highlights the importance of super-resolution imaging and quantitative data analysis, originally developed for neuroscience applications, for imaging beyond the brain.13

Lastly, we worked together as a group to produce a summary paper14 reflecting the collaborative spirit of our community. In this “Community paper,” we talk about the symposium, as well as the Neurophotonics International Summer School, and focus on several of the topics discussed at the last event, including the work of Angela Getz and colleagues featured on the cover of Volume 11 Issue 1.

References

1. 

S. Bancelin et al., “Imaging dendritic spines in the hippocampus of a living mouse by 3D-stimulated emission depletion microscopy,” Neurophotonics, 10 (4), 044402 https://doi.org/10.1117/1.NPh.10.4.044402 2329-423X (2023). Google Scholar

2. 

A. Klioutchnikov and J. N. D. Kerr, “Chasing cortical behavior: designing multiphoton microscopes for imaging neuronal populations in freely moving rodents,” Neurophotonics, 10 (4), 044411 https://doi.org/10.1117/1.NPh.10.4.044411 2329-423X (2023). Google Scholar

3. 

H. D. MacGillavry, “Recent advances and challenges in the use of CRISPR/Cas9 genome editing for understanding neuronal cell biology,” Neurophotonics, 10 (4), 044403 https://doi.org/10.1117/1.NPh.10.4.044403 2329-423X (2023). Google Scholar

4. 

D. Perrais, S. Sposini and J. Angibaud, “Imaging of post-synaptic membrane trafficking in neuronal dendrites: progress, limitations, and new developments,” Neurophotonics, 10 (4), 044404 https://doi.org/10.1117/1.NPh.10.4.044404 2329-423X (2023). Google Scholar

5. 

L. Caya-Bissonnette and J. C. Beique, “Low throughput screening in neuroscience: using light to study central synapses one at a time,” Neurophotonics, 10 (4), 044407 https://doi.org/10.1117/1.NPh.10.4.044407 2329-423X (2023). Google Scholar

6. 

J. Eilts et al., “Enhanced synaptic protein visualization by multicolor super-resolution expansion microscopy,” Neurophotonics, 10 (4), 044412 https://doi.org/10.1117/1.NPh.10.4.044412 2329-423X (2023). Google Scholar

7. 

N. Davoudi et al., “Model-based correction of rapid thermal confounds in fluorescence neuroimaging of targeted perturbation,” Neurophotonics, 11 (1), 014413 https://doi.org/10.1117/1.NPh.11.1.014413 2329-423X (2024). Google Scholar

8. 

C. Bouchard, R. Bernatchez and F. Lavoie-Cardinal, “Addressing annotation and data scarcity when designing machine learning strategies for neurophotonics,” Neurophotonics, 10 (4), 044405 https://doi.org/10.1117/1.NPh.10.4.044405 2329-423X (2023). Google Scholar

9. 

V. Breton et al., “Molecular mapping of neuronal architecture using STORM microscopy and new fluorescent probes for SMLM imaging,” Neurophotonics, 11 (1), 014414 https://doi.org/10.1117/1.NPh.11.1.014414 2329-423X (2024). Google Scholar

10. 

A. Légaré et al., “Zebrafish brain atlases: a collective effort for a tiny vertebrate brain,” Neurophotonics, 10 (4), 044409 https://doi.org/10.1117/1.NPh.10.4.044409 2329-423X (2023). Google Scholar

11. 

E. Tanguay et al., “Shining light on the noradrenergic system,” Neurophotonics, 10 (4), 044406 https://doi.org/10.1117/1.NPh.10.4.044406 2329-423X (2023). Google Scholar

12. 

D. Foubert, F. Cookson and E. S. Ruthazer, “Capturing a rising star: the emerging role of astrocytes in neural circuit wiring and plasticity-lessons from the visual system,” Neurophotonics, 10 (4), 044408 https://doi.org/10.1117/1.NPh.10.4.044408 2329-423X (2023). Google Scholar

13. 

E. Doney et al., “Characterizing the blood-brain barrier and gut barrier with super-resolution imaging: opportunities and challenges,” Neurophotonics, 10 (4), 044410 https://doi.org/10.1117/1.NPh.10.4.044410 2329-423X (2023). Google Scholar

14. 

Y. De Koninck et al., “Understanding the nervous system: lessons from Frontiers in Neurophotonics,” Neurophotonics, 11 (1), 014415 https://doi.org/10.1117/1.NPh.11.1.014415 (2024). Google Scholar
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Yves De Koninck, Paul De Koninck, Anna Devor, and Flavie Lavoie-Cardinal "Special Section Guest Editorial: Frontiers in Neurophotonics," Neurophotonics 11(1), 014401 (28 March 2024). https://doi.org/10.1117/1.NPh.11.1.014401
Published: 28 March 2024
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KEYWORDS
Neurophotonics

Biological imaging

Brain

Neuroimaging

Data modeling

Proteins

Reflection

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