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Sls 0208 a

Manufactured by Mightex
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The SLS-0208-A is a compact precision linear stage designed for laboratory applications. It features a stroke of 80 mm, a travel resolution of 0.1 μm, and a maximum velocity of 20 mm/s. The stage is equipped with a high-precision lead screw and a brushless DC motor for smooth and accurate positioning.

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Lab products found in correlation

Mvl7000, by Thorlabs (6 mentions) Fel0750, by Thorlabs (5 mentions) Dmk 23u618, by Thorlabs (4 mentions) Mvl16m23, by Thorlabs (4 mentions) Dmk 21bu04 h, by Imaging Source (2 mentions) Dmk 23u618, by Imaging Source (2 mentions) Ledd1b, by Thorlabs (1 mentions) Sm1l03, by Thorlabs (1 mentions)

6 protocols using sls 0208 a

1

Eye Tracking Video Acquisition Protocol

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In 31 sessions we recorded 30 Hz video footage of the left eye. We used a camera (DMK 21BU04.H or DMK 23U618, The Imaging Source) with a zoom lens (ThorLabs MVL7000) focused on the left eye. To avoid contamination of the image by reflected monitor light relating to visual stimuli, the eye was illuminated with a focused infrared LED (SLS-0208A, Mightex; driven with LEDD1B, ThorLabs) and an infrared filter was used on the camera (FEL0750, ThorLabs; with adapters SM2A53, SM2A6, and SM1L03, ThorLabs). We acquired videos with MATLAB’s Image Acquisition Toolbox (MathWorks).
Moss M.M., Zatka-Haas P., Harris K.D., Carandini M, & Lak A. (2021). Dopamine Axons in Dorsal Striatum Encode Contralateral Visual Stimuli and Choices. The Journal of Neuroscience, 41(34), 7197-7205.
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2

Pupil Area Tracking Methodology

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Pupil area was tracked as previously described in Burgess et al. (2017) (link). Briefly, a camera (DMK 21BU04.H or DMK 23U618, The Imaging Source) with a zoom lens (ThorLabs MVL7000) was focused on one of the eyes of the animal. The eye was illuminated by an infrared LED (SLS-0208A, Mightex). Videos of the eye were acquired at ≥30 Hz. In each video frame, excluding frames with blinks, an ellipse was fit to the pupil image, and pupil area was estimated based on this fit.
Okun M., Steinmetz N.A., Lak A., Dervinis M, & Harris K.D. (2019). Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales. Cerebral Cortex (New York, NY), 29(5), 2196-2210.
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3

Multimodal Eye and Body Tracking

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Eye and body movements were monitored by illuminating the subject with IR light (830nm, Mightex SLS-0208-A). The right eye was monitored with a camera (The Imaging Source, DMK 23U618) fitted with zoom lens (Thorlabs MVL7000) and long-pass filter (Thorlabs FEL0750), recording at 100Hz. Body movements were monitored with another camera (same model but with a different lens, Thorlabs MVL16M23) situated above the central screen, recording at 40Hz.
Steinmetz N.A., Zatka-Haas P., Carandini M, & Harris K.D. (2019). Distributed coding of choice, action, and engagement across the mouse brain. Nature, 576(7786), 266-273.
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4

Multimodal Monitoring of Eye and Body Movements

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Eye and body movements were monitored by illuminating the subject with infrared light (830 nm, Mightex SLS-0208-A). The right eye was monitored with a camera (The Imaging Source, DMK 23U618) fitted with zoom lens (Thorlabs MVL7000) and long-pass filter (Thorlabs FEL0750), recording at 100 Hz. Body movements (face, ears, front paws and part of the back) were monitored with another camera (same model but with a different lens, Thorlabs MVL16M23) situated above the central screen, recording at 40 Hz for the experiments in V1 and HPF (Figs. 1 and 2) and 60 Hz for the transectomy experiments (Fig. 3). Video and stimulus time were aligned using the strobe pulses generated by the cameras, recorded alongside the output of a screen-monitoring photodiode and the input to the speakers, all sampled at 2,500 Hz. Video data was acquired on the computer using mmmGUI (https://github.com/cortex-lab/mmmGUI). To compute the singular value decompositions of the face movie and to fit pupil area and position, we used the facemap algorithm13 (link) (www.github.com/MouseLand/facemap, MATLAB version).
Bimbard C., Sit T.P., Lebedeva A., Reddy C.B., Harris K.D, & Carandini M. (2023). Behavioral origin of sound-evoked activity in mouse visual cortex. Nature Neuroscience, 26(2), 251-258.
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5

Multimodal Eye and Body Tracking

Check if the same lab product or an alternative is used in the 5 most similar protocols
Eye and body movements were monitored by illuminating the subject with IR light (830nm, Mightex SLS-0208-A). The right eye was monitored with a camera (The Imaging Source, DMK 23U618) fitted with zoom lens (Thorlabs MVL7000) and long-pass filter (Thorlabs FEL0750), recording at 100Hz. Body movements were monitored with another camera (same model but with a different lens, Thorlabs MVL16M23) situated above the central screen, recording at 40Hz.
Steinmetz N.A., Zatka-Haas P., Carandini M, & Harris K.D. (2019). Distributed coding of choice, action, and engagement across the mouse brain. Nature, 576(7786), 266-273.
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6

Multimodal Monitoring of Eye and Body Movements

Check if the same lab product or an alternative is used in the 5 most similar protocols
Eye and body movements were monitored by illuminating the subject with infrared light (830 nm, Mightex SLS-0208-A). The right eye was monitored with a camera (The Imaging Source, DMK 23U618) fitted with zoom lens (Thorlabs MVL7000) and long-pass filter (Thorlabs FEL0750), recording at 100 Hz. Body movements (face, ears, front paws, and part of the back) were monitored with another camera (same model but with a different lens, Thorlabs MVL16M23) situated above the central screen, recording at 40 Hz for the experiments in V1 and HPF (Fig. 1 & Fig. 2) and 60Hz for the transectomy experiments (Fig. 3). Video and stimulus time were aligned using the strobe pulses generated by the cameras, recorded alongside the output of a screen-monitoring photodiode and the input to the speakers, all sampled at 2,500 Hz. Video data was acquired on computer using mmmGUI (https://github.com/cortex-lab/mmmGUI). To compute the Singular Value Decompositions of the face movie and to fit pupil area and position, we used the facemap algorithm13 (link) (www.github.com/MouseLand/facemap).
Bimbard C., Sit T.P., Lebedeva A., Reddy C.B., Harris K.D, & Carandini M. (2023). Behavioral origin of sound-evoked activity in mouse visual cortex. Nature Neuroscience, 26(2), 251-258.
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