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2025
Sun Y, Squires JR, Hoffmann A, Zhang Y, Minor A, Singh A, Scholten D, Mao C, Luo Y, Fang D et al..  2025.  Abstract 2420: Deep learning enables automated detection of circulating tumor cell-immune cell interactions with prognostic insights in cancer. Cancer Research. 85:2420-2420.
Januszewski M, Templier T, Hayworth KJeffrey, Peale D, Hess H.  2025.  Accelerating Neuron Reconstruction with PATHFINDER. bioRxiv.
Januszewski M, Templier T, Hayworth KJeffrey, Peale D, Hess H.  2025.  Accelerating Neuron Reconstruction with PATHFINDER. bioRxiv.
Liu H, Squires J, Sun Y, Hoffmann ADaniel, Zhang Y, Platanias LC, Gradishar WJohn, Cristofanilli M, Stringer C.  2025.  Analysis of deep learning for automated recognition of immune cells interacting with CTCs for prognostic assessment in cancer.. Journal of Clinical Oncology. 43:e13028-e13028.
Hillsley A, Stein J, Tillberg PW, Stern DL, Funke J.  2025.  A Bayesian Model to Count the Number of Two-State Emitters in a Diffraction Limited Spot.. Nano Lett.
Desissaire S, Ziemczonok M, Cantat-Moltrecht T, Kuś A, Godefroy G, Hervé L, Paviolo C, Krauze W, Allier C, Mandula O et al..  2025.  Bio-inspired 3D-printed phantom: Encoding cellular heterogeneity for characterization of quantitative phase imaging. Measurement. 247:116765.
Deb D, Both G-J, Bezzam E, Kohli A, Yang S, Chaware A, Allier C, Cai C, Anderberg G, M. Eybposh H et al..  2025.  Chromatix: a differentiable, GPU-accelerated wave-optics library. bioRxiv.
Deb D, Both G-J, Bezzam E, Kohli A, Yang S, Chaware A, Allier C, Cai C, Anderberg G, M. Eybposh H et al..  2025.  Chromatix: a differentiable, GPU-accelerated wave-optics library. bioRxiv.
Deb D, Both G-J, Bezzam E, Kohli A, Yang S, Chaware A, Allier C, Cai C, Anderberg G, M. Eybposh H et al..  2025.  Chromatix: a differentiable, GPU-accelerated wave-optics library. bioRxiv.
Petkova MD, Januszewski M, Blakely T, Herrera KJ, Schuhknecht GFP, Tiller R, Choi J, Schalek RL, Boulanger-Weill J, Peleg A et al..  2025.  A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain. bioRxiv.
Petkova MD, Januszewski M, Blakely T, Herrera KJ, Schuhknecht GFP, Tiller R, Choi J, Schalek RL, Boulanger-Weill J, Peleg A et al..  2025.  A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain. bioRxiv.
Petkova MD, Januszewski M, Blakely T, Herrera KJ, Schuhknecht GFP, Tiller R, Choi J, Schalek RL, Boulanger-Weill J, Peleg A et al..  2025.  A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain. bioRxiv.
Petkova MD, Januszewski M, Blakely T, Herrera KJ, Schuhknecht GFP, Tiller R, Choi J, Schalek RL, Boulanger-Weill J, Peleg A et al..  2025.  A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain. bioRxiv.
Petkova MD, Januszewski M, Blakely T, Herrera KJ, Schuhknecht GFP, Tiller R, Choi J, Schalek RL, Boulanger-Weill J, Peleg A et al..  2025.  A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain. bioRxiv.
Roberts R, Giez C, Dhawan S, Pang S, Randel N, Zhiyuan L, Gong H, Dekens L, DiFrisco J, C Xu S et al..  2025.  Cross-species comparative connectomics reveals the evolution of an olfactory circuit. bioRxiv.
Zocchi D, Nguyen M, Marquez-Legorreta E, Siwanowicz I, Singh C, Prober DA, Hillman EMC, Ahrens MB.  2025.  Days-old zebrafish rapidly learn to recognize threatening agents through noradrenergic and forebrain circuits.. Curr Biol. 35(1):163-176.e4.
Chen Y, Yserentant K, Hong K, Kuang Y, Bhowmick A, Charles-Orszag A, Lord SJ, Lu L, Hou K, Mann SI et al..  2025.  De novo designed bright, hyperstable rhodamine binders for fluorescence microscopy. bioRxiv.
Chen Y, Yserentant K, Hong K, Kuang Y, Bhowmick A, Charles-Orszag A, Lord SJ, Lu L, Hou K, Mann SI et al..  2025.  De novo designed bright, hyperstable rhodamine binders for fluorescence microscopy. bioRxiv.
Chen Y, Yserentant K, Hong K, Kuang Y, Bhowmick A, Charles-Orszag A, Lord SJ, Lu L, Hou K, Mann SI et al..  2025.  De novo designed bright, hyperstable rhodamine binders for fluorescence microscopy. bioRxiv.
Guo M, Wu Y, Hobson CM, Su Y, Qian S, Krueger E, Christensen R, Kroeschell G, Bui J, Chaw M et al..  2025.  Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopyAbstract. Nature Communications. 16(1)
Guo M, Wu Y, Hobson CM, Su Y, Qian S, Krueger E, Christensen R, Kroeschell G, Bui J, Chaw M et al..  2025.  Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopyAbstract. Nature Communications. 16(1)
Guo M, Wu Y, Hobson CM, Su Y, Qian S, Krueger E, Christensen R, Kroeschell G, Bui J, Chaw M et al..  2025.  Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopyAbstract. Nature Communications. 16(1)
Schneider MC, Johnson C, Allier C, Heinrich L, Adjavon D, Husic J, La Riviere P, Saalfeld S, Shroff H.  2025.  DeepPD: Joint Phase and Object Estimation from Phase Diversity with Neural Calibration of a Deformable Mirror. arXiv.
Schneider MC, Johnson C, Allier C, Heinrich L, Adjavon D, Husic J, La Riviere P, Saalfeld S, Shroff H.  2025.  DeepPD: Joint Phase and Object Estimation from Phase Diversity with Neural Calibration of a Deformable Mirror. arXiv.
Gandin V, Kim J, Yang L-Z, Lian Y, Kawase T, Hu A, Rokicki K, Fleishman G, Tillberg P, Castrejon AAguilera et al..  2025.  Deep-tissue transcriptomics and subcellular imaging at high spatial resolution. Science.