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pith:2026:2GEL4GEFVM2DJVTVVSK2UK243W
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DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy

Alexandra Lion, Guorong Hu, Ian Davison, Jeffrey Alido, Joseph L. Greene, Kivilcim Kili\c{c}, Lei Tian, Qilin Deng, Ruipeng Guo, Suet YIng Chan, Tongyu Li

Joint optimization of a pupil filter and digital reconstruction network extends depth of field microscopy through scattering tissue.

arxiv:2605.13619 v1 · 2026-05-13 · physics.optics · cs.CV

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Claims

C1strongest claim

DeepFilters extends the PSF from 16 micron to >400 micron in clear media and enables signal recovery beyond 120 micron deep in biological tissues, validated across fixed brain slices and sea urchin embryos.

C2weakest assumption

The calibrated differentiable forward model, incorporating empirical scattering kernels, accurately represents real tissue scattering and enables generalization without retraining across different biological samples.

C3one line summary

DeepFilters jointly optimizes a parameterized pupil filter and digital reconstruction network via a calibrated differentiable forward model with empirical scattering kernels to extend PSF depth from 16 to over 400 microns in clear media and recover signals beyond 120 microns in tissues.

References

16 extracted · 16 resolved · 0 Pith anchors

[1] Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy, 2020 · doi:10.1038/s41377-020-00403-7
[2] A miniaturized mesoscope for the large-scale single-neuron-resolved imaging of neuronal activity in freely behaving mice, 2024 · doi:10.1038/s41551-024-01226-2
[3] T-scope V4: miniaturized microscope for optogenetic tagging in freely behaving animals, 2024 · doi:10.1101/2024.10.07.616920
[4] Pupil engineering for extended depth-of-field imaging in a fluorescence miniscope 2023 · doi:10.1117/1.nph.10.4.044302
[5] Deep learning extended depth-of-field microscope for fast and slide-free histology, 2020 · doi:10.1073/pnas.2013571117
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First computed 2026-05-18T02:44:17.930720Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

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d188be1885ab3434d675ac95aa2b5cdda9686d6b43097792ebdfdbcc09efd60e

Aliases

arxiv: 2605.13619 · arxiv_version: 2605.13619v1 · doi: 10.48550/arxiv.2605.13619 · pith_short_12: 2GEL4GEFVM2D · pith_short_16: 2GEL4GEFVM2DJVTV · pith_short_8: 2GEL4GEF
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/2GEL4GEFVM2DJVTVVSK2UK243W \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d188be1885ab3434d675ac95aa2b5cdda9686d6b43097792ebdfdbcc09efd60e
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-05-13T14:49:33Z",
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