Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 23 min ago
PreprintarXiv licencearXiv

Dual deconvolution multifocal fluorescence response matrix microscopy for aberration-free high-throughput super-resolution imaging

Abstract

Fluorescence response matrix imaging enables separate computational correction of excitation and emission aberrations through dual deconvolution, but single-focus acquisition requires a large number of camera frames, limiting its practical use. Multifocal excitation can accelerate acquisition by recording many illumination positions in parallel, but denser foci also increase inter-focus crosstalk, which can bias the estimated excitation and emission optical transfer functions and degrade aberration correction. Here, we introduce high-throughput aberration-free fluorescence response matrix imaging with adaptive multifocal illumination, in which the inter-focus spacing of the multifocal lattice is adjusted according to specimen-dependent crosstalk. A programmable digital micromirror device generates multifocal excitation lattices, and the resulting detector-resolved fluorescence responses are assembled into a two-coordinate fluorescence response matrix. Dual deconvolution separately estimates and corrects the excitation and emission optical transfer functions, and the aberration-corrected matrix is then combined in the spatial-frequency domain to reconstruct the aberration-free image. This strategy reduces the number of required camera frames by approximately three orders of magnitude, allowing response matrices with ∼ 106 illumination positions to be acquired within seconds to a few minutes. The accelerated acquisition preserves the aberration-correction capability of dual deconvolution and achieves an estimated lateral resolution of ∼100 nm. Applied to heterogeneous mouse brain and kidney tissue, the method enables high-resolution, depth-resolved volumetric imaging while correcting specimen-dependent aberrations. Together, these results establish adaptive multifocal illumination as a practical route to high-throughput aberration-free fluorescence response matrix imaging.

Related

  1. Aberration sensing in fluorescence microscopy using quantum correlations
    Shay Elmalem, Shaurya Aarav, Allard K. F. Hübler +2
    arXivPreprintCC BY-NC-ND 4.0Full textOptics & photonicsarXiv
  2. Depth estimation in fluorescence microscopy using degree of polarization
    Mingyang Xu, Naru Yoneda, Osamu Matoba
    Optics ExpressPeer-reviewedPublisher termsOptics & photonicsCrossref
  3. Sub-diffraction-resolved spatial distribution of emitting excitons in scanning tunneling microscopy-induced luminescence of two-dimensional semiconductors via Richardson-Lucy deconvolution
    Elysé Laurent, Ricardo Javier Peña Román, Sarah Miller +7
    Physical Review AppliedPeer-reviewedCC BY-NC-ND 4.0Full textCondensed matterOptics & photonicsHAL
  4. Tip-enhanced molecular fluorescence microscopy with atomic-scale resolution
    Anna Rosławska, Katharina Kaiser, Sofia Canola +5
    Reviews of Modern PhysicsPeer-reviewedCC BY-NC-ND 4.0Full text2 citedGeneral physicsHAL
  5. Scattering-force-driven light-sheet fluorescence microscopy for scan-free three-dimensional imaging
    Sen Geng, Zhuoren Wan, Zhaoyang Wen +6
    arXivPreprintCC BY-SA 4.0Full textApplied physics & instrumentationOptics & photonicsarXiv
BibTeX
@misc{lim2026dual,
  title = {{Dual deconvolution multifocal fluorescence response matrix microscopy for aberration-free high-throughput super-resolution imaging}},
  author = {Sumin Lim and Sanghyeon Park and Tran Thinh Le and Jin Hee Hong and Seokchan Yoon and Wonshik Choi},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.15264},
  eprint = {2610.15264},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.15264},
}
RIS
TY  - UNPB
TI  - Dual deconvolution multifocal fluorescence response matrix microscopy for aberration-free high-throughput super-resolution imaging
AU  - Sumin Lim
AU  - Sanghyeon Park
AU  - Tran Thinh Le
AU  - Jin Hee Hong
AU  - Seokchan Yoon
AU  - Wonshik Choi
PY  - 2026
DA  - 2026/10/11
PB  - arXiv
DO  - 10.48550/arxiv.2610.15264
UR  - https://arxiv.org/abs/2610.15264
AB  - Fluorescence response matrix imaging enables separate computational correction of excitation and emission aberrations through dual deconvolution, but single-focus acquisition requires a large number of camera frames, limiting its practical use. Multifocal excitation can accelerate acquisition by recording many illumination positions in parallel, but denser foci also increase inter-focus crosstalk, which can bias the estimated excitation and emission optical transfer functions and degrade aberration correction. Here, we introduce high-throughput aberration-free fluorescence response matrix imaging with adaptive multifocal illumination, in which the inter-focus spacing of the multifocal lattice is adjusted according to specimen-dependent crosstalk. A programmable digital micromirror device generates multifocal excitation lattices, and the resulting detector-resolved fluorescence responses are assembled into a two-coordinate fluorescence response matrix. Dual deconvolution separately estimates and corrects the excitation and emission optical transfer functions, and the aberration-corrected matrix is then combined in the spatial-frequency domain to reconstruct the aberration-free image. This strategy reduces the number of required camera frames by approximately three orders of magnitude, allowing response matrices with ∼ 10^6 illumination positions to be acquired within seconds to a few minutes. The accelerated acquisition preserves the aberration-correction capability of dual deconvolution and achieves an estimated lateral resolution of ∼100 nm. Applied to heterogeneous mouse brain and kidney tissue, the method enables high-resolution, depth-resolved volumetric imaging while correcting specimen-dependent aberrations. Together, these results establish adaptive multifocal illumination as a practical route to high-throughput aberration-free fluorescence response matrix imaging.
ER  -