# Developing next generation multiphoton systems to reveal cortico-thalamic interactions underlying short-term memory in behaving mice

> **NIH NIH K99** · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · 2021 · $92,786

## Abstract

1 One of the goals of systems neuroscience is to understand how sensory information is transformed into goal-
 2 directed behavior via diverse brain regions and circuits. To achieve this aim, it is critical to elucidate computations
 3 performed within specific layers of the cortex by specific cell classes and the communication dynamics between
 4 multiple brain regions. Two-photon microscopy has been used successfully to perform functional brain imaging
 5 at the single-cell level mice, but its penetration is limited by tissue scattering to the top layers of the cortex. I have
6 developed a 3-photon microscope to overcome this challenge. Today, the main drawback of 3-photon
 7 microscope is its relatively modest speed, limiting its use for multi-site imaging. Optimizing instrument design
 8 and imaging protocol to overcome this limitation is required for broad end-user acceptance. In this proposal, I
 9 will construct and optimize a combined 2-photon and 3-photon microscope for multi-site, superficial and deep
10 brain imaging at single-cell resolution. Specifically, I have first developed a custom-made 3-photon microscope
11 with optimized laser and microscope parameters (Aim 1a). Optimizing these parameters can improve imaging
12 speed and imaging depth while lowering the average laser power to avoid damage in the live mouse brain. The
13 microscope performance improvement has been validated by performing functional imaging in the primary visual
14 cortex of GCaMP6 mice to characterize visual responses of each cortical layer and subplate. In addition, I will
15 characterize the effective attenuation lengths (EAL) of higher visual areas in awake mice with label-free imaging
16 and laser-ablation methods. Then, I will demonstrate the microscope’s performance by examining cell-specific
17 differences within a layer 6 (L6) of V1. Since neuronal responses to visual stimuli are modulated by the cortical
18 state such as arousal, or reward expectation, I will image adjacent sets of neurons with distinct projections to the
19 lateral geniculate nucleus (LGN) and lateral posterior (LP) regions (e.g., cortico-cortical [CC] and cortico-thalamic
20 [CT] neurons in L6) in primary and higher visual areas to reveal circuit-based response types within a single
21 cortical layer using retrobead-based tracing methods (Aim 1b). Next, I have developed custom-made 2-photon
22 wide-field microscope to perform neuronal recordings and manipulations in the primary visual cortex and higher
23 visual areas (Aim 2a). I have improved imaging speed and field of view by implementing multifocal multiphoton
24 microscopy (MMM). Multiple foci two-photon excitation efficiency will be optimized by coupling a diffractive
25 element (DOE) with customized intermediate optics. High sensitivity single-photon counting detection will be
26 achieved using a novel avalanche photodiode array detector. To demonstrate microscope performance and
27 which brain regions are necessary for a wel...

## Key facts

- **NIH application ID:** 10150877
- **Project number:** 5K99EB027706-02
- **Recipient organization:** MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- **Principal Investigator:** Murat Yildirim
- **Activity code:** K99 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $92,786
- **Award type:** 5
- **Project period:** 2020-05-01 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10150877

## Citation

> US National Institutes of Health, RePORTER application 10150877, Developing next generation multiphoton systems to reveal cortico-thalamic interactions underlying short-term memory in behaving mice (5K99EB027706-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10150877. Licensed CC0.

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