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Mvl7000

Manufactured by Thorlabs

The MVL7000 is a high-performance monochromator-based tunable light source that covers the spectral range from 190 to 2000 nm. It features a motorized grating turret and a slit mechanism to select the desired wavelength. The MVL7000 provides a stable and adjustable light output for various applications requiring a tunable light source.

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10 protocols using mvl7000

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).
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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.
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3

Fabrication and Characterization of Chromic Time-Temperature Indicators

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The temporal evolution of Cw was evaluated on devices prepared by using the following procedure: (i) fiber deposition on a paper substrate, (ii) first step of photo-programming (72–80 mJ/cm2), (iii) second step of photo-programming (305 mJ/cm2), and (iv) device encapsulation by cold lamination between PET sheets. Images of the TTIs maintained at a constant temperature of 35 °C were measured at several time points using either a smartphone photo-camera or an imaging system based on a CMOS camera (DCC1645C, Thorlabs) coupled with a long working-distance optical system (MVL7000, Thorlabs). For the calculation of Cw the images of the sample were converted to 8-bit and the mean gray intensities of the exposed and unexposed areas were estimated by using the Fiji-ImageJ software (U.S. National Institutes of Health, Bethesda, Fig. S12 and S13).
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4

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.
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5

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).
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6

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.
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7

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 (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).
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8

Head-fixed pupillometry in mice

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Head-fixed pupillometry was recorded as described by Gao et al 2020 (link) (Gao et al., 2020 (link)). Briefly, mice were first acclimated to a custom-built head fixation device for 5 days, 30 min per day. A monochromatic CMOS camera equipped with a macro zoom lens (MVL7000, ThorLabs) and an infrared LED lamp (LIU850A, ThorLabs) were used to collect images from the left pupil at 5 frames per second. The start of camera recording and the delivery of mild aversive stimulus were triggered by TTL signal controlled by Clampex. 5 consecutive air puffs (100 ms, 60 psi) or tail shocks (1s, ~250 μA) were started 5 min after the baseline recording, with the interval between stimulation range from 30-60s. The 29G tubing for air puff was placed 2mm under the tip of the snout so that the air puff won’t cause eye blink of the mouse. The recorded videos were subsequently analyzed using Bonsai 2.4, and changes in pupil size (area) were plotted.
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9

Confocal Microscopy Sublimation Thickness Estimation

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An inverted microscope, Eclipse Ti (Nikon), equipped with a confocal A1R‐MP system (Nikon) was used for the microscopic optical measurements. For the characterization of the light backscattered by the CDD material, a polarized Ar ion laser (wavelength, λ = 488 nm) was used as the light source, while the backscattered signal was collected by a 10 × objective (numerical aperture, N.A. = 0.25) and measured by a photomultiplier. At the beginning of the measurement, the objective is positioned in order to have the focal plane at the surface of the sample (air/sample interface), and this objective position is fixed throughout the overall measurement. Upon sublimation from the sample, the light intensity that is backscattered by the air/sample interface and measured by the detector of the confocal microscope is to decrease because of the increasing spatial gap between the air/sample interface and the fixed focal plane. The sublimated thickness was estimated by the focal depth of the confocal systems: Δz = 2λ/(N.A.)2.[17] The bright field imaging time‐lapse was collected by a DS‐Ri1 color charged‐coupled‐device (CCD) camera (Nikon) in cross‐polarization mode. Analysis was performed by the ImageJ software. QR‐codes were imaged by using either a smartphone camera or a CCD camera (Leica) coupled to a long working‐distance optical system (MVL7000, Thorlabs).
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10

Ionic Strength Controlled CNC Film Casting

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The cellulose nanocrystal suspension was mixed with sodium chloride or calcium chloride to obtain the desired ionic strength prior to casting onto a dust-free glass slide. Glass cover slides were rinsed with isopropanol and dried with compressed air prior to use. Each film was prepared by depositing 10 µL of a suspension. Drops were cast immediately after the CNC suspension was mixed with the desired salt to avoid gelation time effects (Figure SI 2, 4, 6), as it was noticed that leaving the suspension to equilibrate led to the formation of hydrogels at higher ionic strength (Figure SI 6) as expected from other literature reports. 18, 20, 21 Images of drying droplets (ESI, Movie SI 1) were recorded in real time with a camera (DCC 3240C, Thorlabs) fitted with a zoom lens (MVL7000, Thorlabs) and analyzed with ImageJ to derive the droplet volume versus time using the same approach as used in our previous work. 1 The deposited films were further characterized with a cross-polarized light microscope and by profilometry.
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