Compressive light-field microscopy for 3D neural activity recording

By Nicolas C. Pégard, Hsiou-Yuan Liu, Nick Antipa, Maximillian Gerlock, Hillel Adesnik, Laura Waller. 2016

174 citations recorded by the source corpus.

Understanding the mechanisms of perception, cognition, and behavior requires instruments that are capable of recording and controlling the electrical activity of many neurons simultaneously and at high speeds. All-optical approaches are particularly promising since they are minimally invasive and potentially scalable to experiments interrogating thousands or millions of neurons. Conventional light-field microscopy provides a single-shot 3D fluorescence capture method with good light efficiency and fast speed, but suffers from low spatial resolution and significant image degradation due to scattering in deep layers of brain tissue. Here, we propose a new compressive light-field microscopy method to address both problems, offering a path toward measurement of individual neuron activity across large volumes of tissue. The technique relies on spatial and temporal sparsity of fluorescence signals, allowing one to identify and localize each neuron in a 3D volume, with scattering and aberration effects naturally included and without ever reconstructing a volume image. Experimental results on live zebrafish track the activity of an estimated 800+ neural structures at 100 Hz sampling rate.

Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/954f1abf7f196c4d2e9b3bcd47cd0f17935ce42b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. Laura Waller
2. Ren Ng
3. Lei Tian

In Biomedical Engineering

1. Laura Waller
2. Qionghai Dai
3. Yebin Liu
4. Ben Mildenhall
5. Ren Ng

In Biophysics

1. Qionghai Dai
2. Yebin Liu
3. Ben Mildenhall
4. Ren Ng

Citations in the corpus

• DiffuserCam: Lensless Single-exposure 3D Imaging (2017, methodology): “Lenslet array-based 3D capture schemes have also been used in microscopy [16], where improved results are obtained when wave-optical effects [17, 18] or in vivo tissue scattering [18, 19] are accounted for.”
• Light Field Image Processing: An Overview (2017, methodology): “[63] applied the compressive light field imaging technique to capture specimens at microscopic scales, while Cohen et al.”