pith:2GEL4GEF
DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy
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
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.
The calibrated differentiable forward model, incorporating empirical scattering kernels, accurately represents real tissue scattering and enables generalization without retraining across different biological samples.
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
Receipt and verification
| 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 |
Canonical hash
d188be1885ab3434d675ac95aa2b5cdda9686d6b43097792ebdfdbcc09efd60e
Aliases
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Verify this Pith Number yourself
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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