IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-55305-8.html
   My bibliography  Save this article

Rapid lightsheet fluorescence imaging of whole Drosophila brains at nanoscale resolution by potassium acrylate-based expansion microscopy

Author

Listed:
  • Xuejiao Tian

    (Academia Sinica
    Academia Sinica
    National Tsing Hua University)

  • Tzu-Yang Lin

    (Academia Sinica)

  • Po-Ting Lin

    (Academia Sinica)

  • Min-Ju Tsai

    (Academia Sinica)

  • Hsin Chen

    (Academia Sinica)

  • Wen-Jie Chen

    (National Cheng Kung University and Academia Sinica
    Academia Sinica)

  • Chia-Ming Lee

    (Academia Sinica)

  • Chiao-Hui Tu

    (Academia Sinica)

  • Jui-Cheng Hsu

    (Academia Sinica)

  • Tung-Han Hsieh

    (Academia Sinica)

  • Yi-Chung Tung

    (Academia Sinica)

  • Chien-Kai Wang

    (National Taiwan University)

  • Suewei Lin

    (Academia Sinica)

  • Li-An Chu

    (National Tsing Hua University)

  • Fan-Gang Tseng

    (Academia Sinica
    Academia Sinica
    National Tsing Hua University)

  • Yi-Ping Hsueh

    (Academia Sinica)

  • Chi-Hon Lee

    (Academia Sinica)

  • Peilin Chen

    (Academia Sinica)

  • Bi-Chang Chen

    (Academia Sinica
    Academia Sinica)

Abstract

Taking advantage of the good mechanical strength of expanded Drosophila brains and to tackle their relatively large size that can complicate imaging, we apply potassium (poly)acrylate-based hydrogels for expansion microscopy (ExM), resulting in a 40x plus increased resolution of transgenic fluorescent proteins preserved by glutaraldehyde fixation in the nervous system. Large-volume ExM is realized by using an axicon-based Bessel lightsheet microscope, featuring gentle multi-color fluorophore excitation and intrinsic optical sectioning capability, enabling visualization of Tm5a neurites and L3 lamina neurons with photoreceptors in the optic lobe. We also image nanometer-sized dopaminergic neurons across the same intact iteratively expanded Drosophila brain, enabling us to measure the 3D expansion ratio. Here we show that at a tile scanning speed of ~1 min/mm3 with 1012 pixels over 14 hours, we image the centimeter-sized fly brain at an effective resolution comparable to electron microscopy, allowing us to visualize mitochondria within presynaptic compartments and Bruchpilot (Brp) scaffold proteins distributed in the central complex, enabling robust analyses of neurobiological topics.

Suggested Citation

  • Xuejiao Tian & Tzu-Yang Lin & Po-Ting Lin & Min-Ju Tsai & Hsin Chen & Wen-Jie Chen & Chia-Ming Lee & Chiao-Hui Tu & Jui-Cheng Hsu & Tung-Han Hsieh & Yi-Chung Tung & Chien-Kai Wang & Suewei Lin & Li-An, 2024. "Rapid lightsheet fluorescence imaging of whole Drosophila brains at nanoscale resolution by potassium acrylate-based expansion microscopy," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-55305-8
    DOI: 10.1038/s41467-024-55305-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-55305-8
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-55305-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Shin-ya Takemura & Arjun Bharioke & Zhiyuan Lu & Aljoscha Nern & Shiv Vitaladevuni & Patricia K. Rivlin & William T. Katz & Donald J. Olbris & Stephen M. Plaza & Philip Winston & Ting Zhao & Jane Anne, 2013. "A visual motion detection circuit suggested by Drosophila connectomics," Nature, Nature, vol. 500(7461), pages 175-181, August.
    2. Sven Dorkenwald & Arie Matsliah & Amy R. Sterling & Philipp Schlegel & Szi-chieh Yu & Claire E. McKellar & Albert Lin & Marta Costa & Katharina Eichler & Yijie Yin & Will Silversmith & Casey Schneider, 2024. "Neuronal wiring diagram of an adult brain," Nature, Nature, vol. 634(8032), pages 124-138, October.
    3. Li-An Chu & Chieh-Han Lu & Shun-Min Yang & Yen-Ting Liu & Kuan-Lin Feng & Yun-Chi Tsai & Wei-Kun Chang & Wen-Cheng Wang & Shu-Wei Chang & Peilin Chen & Ting-Kuo Lee & Yeu-Kuang Hwu & Ann-Shyn Chiang &, 2019. "Rapid single-wavelength lightsheet localization microscopy for clarified tissue," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    4. Nadine Ehmann & Sebastian van de Linde & Amit Alon & Dmitrij Ljaschenko & Xi Zhen Keung & Thorge Holm & Annika Rings & Aaron DiAntonio & Stefan Hallermann & Uri Ashery & Manfred Heckmann & Markus Saue, 2014. "Quantitative super-resolution imaging of Bruchpilot distinguishes active zone states," Nature Communications, Nature, vol. 5(1), pages 1-12, December.
    5. Philipp Schlegel & Yijie Yin & Alexander S. Bates & Sven Dorkenwald & Katharina Eichler & Paul Brooks & Daniel S. Han & Marina Gkantia & Marcia Santos & Eva J. Munnelly & Griffin Badalamente & Laia Se, 2024. "Whole-brain annotation and multi-connectome cell typing of Drosophila," Nature, Nature, vol. 634(8032), pages 139-152, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Burak Gür & Luisa Ramirez & Jacqueline Cornean & Freya Thurn & Sebastian Molina-Obando & Giordano Ramos-Traslosheros & Marion Silies, 2024. "Neural pathways and computations that achieve stable contrast processing tuned to natural scenes," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Nils Reinhard & Ayumi Fukuda & Giulia Manoli & Emilia Derksen & Aika Saito & Gabriel Möller & Manabu Sekiguchi & Dirk Rieger & Charlotte Helfrich-Förster & Taishi Yoshii & Meet Zandawala, 2024. "Synaptic connectome of the Drosophila circadian clock," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. Toufiq Parag & Anirban Chakraborty & Stephen Plaza & Louis Scheffer, 2015. "A Context-Aware Delayed Agglomeration Framework for Electron Microscopy Segmentation," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-19, May.
    4. Daniel Soudry & Suraj Keshri & Patrick Stinson & Min-hwan Oh & Garud Iyengar & Liam Paninski, 2015. "Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-30, October.
    5. Shang, Ke-ke & Small, Michael & Yan, Wei-sheng, 2017. "Link direction for link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 767-776.
    6. Antoine Allard & M Ángeles Serrano, 2020. "Navigable maps of structural brain networks across species," PLOS Computational Biology, Public Library of Science, vol. 16(2), pages 1-20, February.
    7. Eyal Rozenfeld & Nadine Ehmann & Julia E. Manoim & Robert J. Kittel & Moshe Parnas, 2023. "Homeostatic synaptic plasticity rescues neural coding reliability," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    8. J. Lützkendorf & T. Matkovic-Rachid & S. Liu & T. Götz & L. Gao & O. Turrel & M. Maglione & M. Grieger & S. Putignano & N. Ramesh & T. Ghelani & A. Neumann & N. Gimber & J. Schmoranzer & A. Stawrakaki, 2025. "Blobby is a synaptic active zone assembly protein required for memory in Drosophila," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
    9. Jacqueline Cornean & Sebastian Molina-Obando & Burak Gür & Annika Bast & Giordano Ramos-Traslosheros & Jonas Chojetzki & Lena Lörsch & Maria Ioannidou & Rachita Taneja & Christopher Schnaitmann & Mari, 2024. "Heterogeneity of synaptic connectivity in the fly visual system," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    10. Kit D. Longden & Edward M. Rogers & Aljoscha Nern & Heather Dionne & Michael B. Reiser, 2023. "Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    11. Raquel Francés & Yasmine Rabah & Thomas Preat & Pierre-Yves Plaçais, 2024. "Diverting glial glycolytic flux towards neurons is a memory-relevant role of Drosophila CRH-like signalling," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    12. Saha, Papri & Sarkar, Debasish, 2022. "Allometric scaling of von Neumann entropy in animal connectomes and its evolutionary aspect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-55305-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.