PLFM Bibliography

Light Field Microscopy

1. Levoy, M., Ng, R., Adams, A., Footer, M. and Horowitz, M. (2006). Light field microscopy. Acm T Graphic, 25(3):924-934. https://doi.org/10.1145/1179352.1141976

2. Broxton, M., Grosenick, L., Yang, S., Cohen, N., Andalman, A., Deisseroth, K. and Levoy, M. (2013). Wave optics theory and 3-D deconvolution for the light field microscope. Optics Express, 21(21):25418-25439. https://doi.org/10.1364/OE.21.025418

3. Cohen, N., Yang, S., Andalman, A., Broxton, M., Grosenick, L., Deisseroth, K., Horowitz, M. and Levoy, M. (2014). Enhancing the performance of the light field microscope using wavefront coding. Opt Express, 22(20):24817-39. https://doi.org/10.1364/OE.22.024817

4. Kim, J., Jung, J. H., Jeong, Y., Hong, K. and Lee, B. (2014). Real-time integral imaging system for light field microscopy. Opt Express, 22(9):10210-20. https://doi.org/10.1364/OE.22.010210

5. Prevedel, R., Yoon, Y.-G., Hoffmann, M., Pak, N., Wetzstein, G., Kato, S., Schrödel, T., Raskar, R., Zimmer, M., Boyden, E. S. and Vaziri, A. 2014. Simultaneous whole-animal 3D-imaging of neuronal activity using light field microscopy. arXiv e-prints 1401. http://adsabs.harvard.edu/abs/2014arXiv1401.5333P

6. Cong, L., Wang, Z., Chai, Y., Hang, W., Shang, C., Yang, W., Bai, L., Du, J., Wang, K. and Wen, Q. (2017). Rapid whole brain imaging of neural activity in freely behaving larval zebrafish (Danio rerio). eLife, 6:e28158. https://doi.org/10.7554/eLife.28158

7. Lu, Z., Wu, J., Qiao, H., Zhou, Y., Yan, T., Zhou, Z., Zhang, X., Fan, J. and Dai, Q. (2019). Phase-space deconvolution for light field microscopy. Opt Express, 27(13):18131-18145. https://doi.org/10.1364/OE.27.018131

8. Stefanoiu, A., Page, J., Symvoulidis, P., Westmeyer, G. G. and Lasser, T. (2019). Artifact-free deconvolution in light field microscopy. Opt Express, 27(22):31644-31666. https://doi.org/10.1364/OE.27.031644

Deep Learning and Light Field Microscopy

1. Li, X., Qiao, H., Wu, J., Lu, Z., Yan, T., Zhang, R., Zhang, X. and Dai, Q. (2019) DeepLFM: Deep Learning-based 3D Reconstruction for Light Field Microscopy Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP). Tucson, Arizona: Optical Society of America. https://doi.org/10.1364/NTM.2019.NM3C.2

2. Wagner, N., Beuttenmueller, F., Norlin, N., Gierten, J., Wittbrodt, J., Weigert, M., Hufnagel, L., Prevedel, R. and Kreshuk, A. (2020). Deep learning-enhanced light-field imaging with continuous validation. bioRxiv:2020.07.30.228924. https://doi.org/10.1101/2020.07.30.228924

Related publications from Oldenbourg Lab

1. Oldenbourg, R. (2008). Polarized light field microscopy: an analytical method using a microlens array to simultaneously capture both conoscopic and orthoscopic views of birefringent objects. J. Microsc., 231(3):419-32. https://doi.org/10.1111/j.1365-2818.2008.02053.x

2. Tran, M. T. and Oldenbourg, R. (2018). Mapping birefringence in three dimensions using polarized light field microscopy: the case of the juvenile clamshell. J. Microsc., 271(3):315-324. https://doi.org/10.1111/jmi.12721

3. Tran, M. T. and Oldenbourg, R. (2020). An experimental method to characterize the relationship between aperture image and ray directions in microscope optics. Microsc. Res. Tech., n/a(n/a). https://doi.org/10.1002/jemt.23625