Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging
Multiphoton microscopy requires precise increases in excitation power with imaging depth to generate contrast without damaging the sample. Here the authors show how an adaptive illumination function can be learned from the sample’s shape and used for in vivo imaging of whole lymph nodes.
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Nature Publishing Group
2021-03-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-22246-5 |
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doaj-fcc73bb7eff54047abea2f8a85694bb02021-03-28T11:12:03ZengNature Publishing GroupNature Communications2041-17232021-03-0112111410.1038/s41467-021-22246-5Learned adaptive multiphoton illumination microscopy for large-scale immune response imagingHenry Pinkard0Hratch Baghdassarian1Adriana Mujal2Ed Roberts3Kenneth H. Hu4Daniel Haim Friedman5Ivana Malenica6Taylor Shagam7Adam Fries8Kaitlin Corbin9Matthew F. Krummel10Laura Waller11Department of Electrical Engineering and Computer Sciences, University of CaliforniaDepartment of Pathology, University of California, San FranciscoDepartment of Pathology, University of California, San FranciscoDepartment of Pathology, University of California, San FranciscoDepartment of Pathology, University of California, San FranciscoDepartment of Bioengineering, University of CaliforniaBerkeley Institute for Data ScienceDepartment of Pathology, University of California, San FranciscoDepartment of Pathology, University of California, San FranciscoDepartment of Pathology, University of California, San FranciscoDepartment of Pathology, University of California, San FranciscoComputational Biology Graduate Group, University of CaliforniaMultiphoton microscopy requires precise increases in excitation power with imaging depth to generate contrast without damaging the sample. Here the authors show how an adaptive illumination function can be learned from the sample’s shape and used for in vivo imaging of whole lymph nodes.https://doi.org/10.1038/s41467-021-22246-5 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Henry Pinkard Hratch Baghdassarian Adriana Mujal Ed Roberts Kenneth H. Hu Daniel Haim Friedman Ivana Malenica Taylor Shagam Adam Fries Kaitlin Corbin Matthew F. Krummel Laura Waller |
spellingShingle |
Henry Pinkard Hratch Baghdassarian Adriana Mujal Ed Roberts Kenneth H. Hu Daniel Haim Friedman Ivana Malenica Taylor Shagam Adam Fries Kaitlin Corbin Matthew F. Krummel Laura Waller Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging Nature Communications |
author_facet |
Henry Pinkard Hratch Baghdassarian Adriana Mujal Ed Roberts Kenneth H. Hu Daniel Haim Friedman Ivana Malenica Taylor Shagam Adam Fries Kaitlin Corbin Matthew F. Krummel Laura Waller |
author_sort |
Henry Pinkard |
title |
Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging |
title_short |
Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging |
title_full |
Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging |
title_fullStr |
Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging |
title_full_unstemmed |
Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging |
title_sort |
learned adaptive multiphoton illumination microscopy for large-scale immune response imaging |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2021-03-01 |
description |
Multiphoton microscopy requires precise increases in excitation power with imaging depth to generate contrast without damaging the sample. Here the authors show how an adaptive illumination function can be learned from the sample’s shape and used for in vivo imaging of whole lymph nodes. |
url |
https://doi.org/10.1038/s41467-021-22246-5 |
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