activity
20172026
most citedPycro-manager: open-source software for integrated microscopy hardware control and image processing

131 citations · 274 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Higher-Order Cell Tracking Transformer

Jordão Bragantini, Ilan Theodoro, Loïc A. Royer

Reconstructing lineages from live-imaging microscopy requires linking cell detections across time, including through cell divisions. A common approach is to construct a candidate g…

physics.optics2024

WaveOrder: A differentiable wave-optical framework for scalable biological microscopy with diverse modalities

Talon Chandler, Ivan E. Ivanov, Gabriel Sturm +23

Correlative computational microscopy can accelerate imaging and modeling of cellular dynamics by relaxing trade-offs inherent to dynamic imaging. Existing computational microscopy…

cs.CV2023★ 4 cited

Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps

Jordão Bragantini, Merlin Lange, Loïc Royer

In this work, we describe a method for large-scale 3D cell-tracking through a segmentation selection approach. The proposed method is effective at tracking cells across large micro…

q-bio.QM2020★ 131 cited

Pycro-manager: open-source software for integrated microscopy hardware control and image processing

Henry Pinkard, Nico Stuurman, Laura Waller

μManager, an open-source microscopy acquisition software, has been an essential tool for many microscopy experiments over the past 15 years, but is not easy to use for experiments…

cs.CV2020★ 12 cited

Image Deconvolution via Noise-Tolerant Self-Supervised Inversion

Hirofumi Kobayashi, Ahmet Can Solak, Joshua Batson +1

We propose a general framework for solving inverse problems in the presence of noise that requires no signal prior, no noise estimate, and no clean training data. We only require t…

cs.CV2019★ 121 cited

Noise2Self: Blind Denoising by Self-Supervision

Joshua Batson, Loic Royer

We propose a general framework for denoising high-dimensional measurements which requires no prior on the signal, no estimate of the noise, and no clean training data. The only ass…