Statistically unbiased prediction enables accurate denoising of voltage imaging data
Creators
- Eom, Minho1
- Han, Seungjae1
- Park, Pojeong2
- Kim, Gyuri1
- Cho, Eun-Seo1
- Sim, Jueun3
- Lee, Kang-Han4
- Kim, Seonghoon5
- Tian, He2
- Böhm, Urs L.2
- Lowet, Eric6
- Tseng, Hua-an6
- Choi, Jieun7
- Lucia, Stephani Edwina7
- Ryu, Seung Hyun8
- Rózsa, Márton9
- Chang, Sunghoe10
- Kim, Pilhan7
- Han, Xue6
- Piatkevich, Kiryl D.11
- Choi, Myunghwan5
- Kim, Cheol-Hee4
- Cohen, Adam E.2
- Chang, Jae-Byum3
- Yoon, Young-Gyu1
- 1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
- 2. Department of Chemistry and Chemical Biology, Harvard University, Cambridge, United States
- 3. Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea
- 4. Department of Biology, Chungnam National University, Daejeon, South Korea
- 5. School of Biological Sciences, Seoul National University, Seoul, Republic of Korea.
- 6. Boston University, Department of Biomedical Engineering, Boston, MA, USA
- 7. Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea
- 8. Interdisciplinary Program in Neuroscience, Seoul National University, Seoul, Korea
- 9. Allen Institute for Neural Dynamics, Seattle, WA, USA.
- 10. Department of Physiology and Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- 11. Research Center for Industries of the Future and School of Life Sciences, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang 310030, China
Description
Here we report SUPPORT (Statistically Unbiased Prediction utilizing sPatiOtempoRal information in imaging daTa), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data. SUPPORT is based on the insight that a pixel value in voltage imaging data is highly dependent on its spatially neighboring pixels in the same time frame, even when its temporally adjacent frames do not provide useful information for statistical prediction. Such spatiotemporal dependency is captured and utilized to accurately denoise voltage imaging data in which the existence of the action potential in a time frame cannot be inferred by the information in other frames. Through simulation and experiments, we show that SUPPORT enables precise denoising of voltage imaging data while preserving the underlying dynamics in the scene.
We also show that SUPPORT can be used for denoising time-lapse fluorescence microscopy images of Caenorhabditis elegans (C. elegans), in which the imaging speed is not faster than the locomotion of the worm, as well as static volumetric images of Penicillium and mouse embryos. SUPPORT is exceptionally compelling for denoising voltage imaging and time-lapse imaging data, and is even effective for denoising calcium imaging data.
For more details, please see the accompanying research publication "Statistically unbiased prediction enables accurate denoising of voltage imaging data".
Datasets for publication titled "Statistically unbiased prediction enables accurate denoising of voltage imaging data"
Voltage imaging of paQuasAr6a: paQuasAr6a.zip
paQuasAr6a/Q6a_Cell1
paQuasAr6a/Q6a_Cell2
paQuasAr6a/Q6a_Cell3
paQuasAr6a/Q6a_Cell4
paQuasAr6a/Q6a_Cell5
paQuasAr6a/Q6a_Cell6
paQuasAr6a/175118PP046_P8_pulse (10 ms)_q6
paQuasAr6a/181625PP046_P5_q6_pulse(50ms)
paQuasAr6a/183616PP046_P8_pulse (10 ms)_q6
paQuasAr6a/183717PP046_P5_q6_pulse(50ms)
Voltage imaging of Voltron2: Voltron2.zip
Voltron2/Voltron_Cell1
Voltron2/Voltron_Cell2
Voltron2/Voltron_Cell3
Voltron2/Voltron_Cell3_2
Voltron2/Voltron_Cell4
Voltron2/Voltron_Cell5
Voltron2/Voltron_Cell6
Voltron2/Voltron_Cell7 (100f_s)
Voltron2/Voltron_Cell7_2 (100 f_s)
Voltage imaging of zArchon (zebrafish spinal cord): zebrafish_spinal_cord_N.zip
Voltage imaging of SomArchon (mouse hippocampus neuron): SomArchon.zip
Volumetric structural imaging of mouse embryo (Expansion microscopy): Expansion_microscopy.zip
Expansion_microscopy/JEME208_2x_expanded_bone.tif
Expansion_microscopy/JEME208_2x_expanded_intenstine.tif
Expansion_microscopy/JEME209_2x_expanded_bone_1.tif
Expansion_microscopy/JEME209_2x_expanded_bone_2.tif
Expansion_microscopy/JEME209_2x_expanded_tail.tif
Volumetric structural imaging of penicillium: Penicillium.zip
Penicillium/penicillium_low_snr.tif
--> Low SNR image
Penicillium/penicillium_high_snr.tif
--> High SNR image
Calcium imaging of zebrafish: Zebrafish.zip
Zebrafish/zebrafish_multiple_brain_regions.tif
--> Multiple brain regions
Zebrafish/zebrafish_Cerebellar_plate.tif
--> Cerebellar plate
Zebrafish/zebrafish_Dorsal_telencephalon.tif
--> Dorsal telencephalon
Zebrafish/zebrafish_Medulla_oblongata.tif
--> Medulla oblongata
Zebrafish/zebrafish_Olfactory_bulb.tif
--> Olfactory bulb
Zebrafish/zebrafish_Optic_tectum.tif
--> Optic tectum
Zebrafish/zebrafish_Habenula.tif
--> Habenula
Files
data_explanations.txt
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Additional details
Related works
- Is required by
- Journal article: 10.1038/s41592-023-02005-8 (DOI)