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10 protocols using vs120 l100

1

Quantifying Lung Metastatic Nodules

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To analyse lungs for the presence of mCh-negative tumour nodules, formalin or paraformaldehyde-fixed lungs were sectioned into 5- or 8 μm-thick sections, respectively, at 100 μm intervals. Three to four large lung sections were stained with H&E. Sections were scanned with an Olympus slide scanner (VS120-L100) endowed with a 10x objective and fully automated scanning capabilities. Tumour nodules (>10-20 cancer cells) were counted and their area measured using the OlyVIA (Olympus) and ImageJ softwares, respectively. The number and mean area of the metastatic nodules were calculated by averaging data from individual sections.
To analyse lungs for the presence of mCh+ tumour nodules or disseminated cancer cells, paraformaldehyde-fixed lungs were sectioned into 8 μm-thick sections at 100 μm intervals. Four large sections were counterstained with DAPI and scanned with an Olympus slide scanner (VS120-L100) to acquire both mCh and DAPI fluorescence. Images were analysed using the ImageJ software and the VSI Biop tool. The total metastatic area was calculated by normalizing the mCh+ area to the total lung (DAPI+) area and by averaging data from individual sections. In some experiments, mCh+ cancer cells were also quantified by FACS analysis of homogenised lung tissue.
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2

Multi-color Confocal Imaging of Neocortical Slices

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Standard confocal microscopy was performed on multi-color immunostained brain slices on a confocal microscope (LSM700, Zeiss) in the upright configuration with 40×/1.30 NA Plan-Apochromat oil-immersion objective (Zeiss). Acquisitions of the neocortical column on its entire length and slice thickness (50 μm) were performed with a zoom factor of 1 (to minimize uneven illumination artifacts), with a pixel size of 0.15 μm and a z-step of 1 μm, and with pinhole size set at 33 μm (or 1.0 Airy unit, optimized for A568), leading to an optical section of 1.0 μm. The DAPI signal was obtained using laser excitation at 405 nm; single-probe-labeled slices were excited with 555 nm laser. Images were visualized using ZEN software (ZEN 2009, Zeiss) and processed using the open source image processing package Fiji (Schindelin et al., 2012 (link); public domain, GPL v2 license). A quality check of brain regions was performed on images captured with a slide scanner (Olympus, VS120-L100) with a 10×/0.40 UPLSAPO air objective (Olympus) by visually comparing them with the Rat Brain Anatomy Atlas (Paxinos and Watson, 2014 ). Data were excluded if not part of the primary somatosensory cortex, hindlimb region (S1HL).
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3

In Vivo Tracking of Adoptive GMCs

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K562 cells were subcutaneously injected into the left flank of NOG mice, while K562-CD19 cells were subcutaneously injected into the right cavity of the same mouse. Ten days after tumor cell injection, GMCs were injected into the cardiac chamber. Five days after GMC injection, mice were sacrificed, and paraffin-embedded tissues were prepared. Immunohistochemistry was performed with an anti-CD3 antibody (ab109531; Abcam, Cambridge, MA) and Alexa Fluor 488 chicken anti-rabbit immunoglobulin G (IgG) (Abcam) to detect injected GMCs. We also performed immunohistochemistry with an anti-IFN-γ antibody (AF-285-NA; R&D Systems, Minneapolis, MN) and Alexa Fluor 594 donkey anti-goat IgG (Abcam) to detect activated GMCs. Nuclei were stained with DAPI (SlowFade Goldantifade reagent with DAPI; Thermo Fisher Scientific). Images were obtained with a fluorescence microscope (VS120-L100; Olympus, Tokyo, Japan).
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4

Duodenal Mucosa Histopathology Imaging

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Whole slide images of hematoxylin and eosin-stained slides of the duodenal mucosa were
obtained using a digital slide scanner (VS120-L100, Olympus) with a 40× objective lens
(UPlanSAPO, Olympus, Tokyo, Japan) at a resolution of 172 nm/pixel. After scanning, at
least 20 images were captured avoiding duplication and include epithelial tissue because
the epitheliotropism of lymphocytes is thought to be useful in differentiating intestinal
T-cell lymphoma from CE [4 (link)]. Images were captured at
a resolution of 3,840 × 1,846 pixels to review and score after each experiment. The number
and findings of the images in all experiments were described in Supplementary Table 3.
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5

Chromogenic ALK IHC and IF Imaging

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The brightfield images of the chromogenic ALK IHC stainings were digitalized on a NanoZoomer Digital Pathology scanner (Hamamatsu, Japan). For IF we used a Zeiss AxioImager M2 m microscope and an Olympus slide scanner VS120-L100. Each image was taken in both DAPI (Alexa350) and Cy5 (Alexa647) channels. For all images within a figure, the same parameters of acquisition, such as filter set, exposure time, and filter intensities were used.
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6

Rhodamine Biodistribution in Rats

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The fluorescence intensity of rhodamine was assessed at 6 h following the last injection, using neutral infrared imaging. Under deep anesthesia, samples from rats were collected, weighed, and homogenized in PBS. The rhodamine dye was extracted with a mixture of chloroform and methanol at a 2:1 volume ratio and the fluorescence intensity was evaluated with a spectrophotometer at 560 and 580 nm. The data were standardized to the negative control saline-treated animals. The biodistribution of drugs in the spinal cord and brain was using a slide scanner (VS120-L100, Olympus, Tokyo, Japan; 20x objective) to image tissue sections.
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7

Microscopic Imaging Techniques Protocol

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Images were taken using microscopes (BX51 and SZX16, Olympus) equipped with a CCD-camera (DP71, Olympus), a confocal laser microscope (FV1000, Olympus), a virtual slide microscope (VS120-L100, Olympus) and a microscope (SZX16, Olympus) equipped with an HD-color camera (CSD240, Ikeda) and a recorder (VISK IR-100, Chunichi Denshi).
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8

Quantitative Analysis of Aβ Plaques and Microglia

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After immunohistochemistry, whole brain slices were imaged with a 10x objective using a slide scanner (Olympus, VS120-L100). Images acquired in the virtual slide format (.vsi) were opened and analyzed using the QuPath software [2 (link)]. DAPI signal was used to draw regions of interest (ROI) in the ipsilateral and contralateral hippocampal formations using a drawing tablet. The area covered by the fluorescent signal within the ROI was measured using thresholding algorithms in Fiji [61 (link)]. The algorithm was chosen to fit the observed signal as accurately as possible. Depending on signal distribution and intensity, either Triangle, Moments or Otsu algorithms were selected for analysis.
Identification of individual Aβ plaques and microglia based on their size was performed on QuPath after signal thresholding using dedicated algorithms. For analysis of signal coverage at the level of Aβ plaques, we defined a ROI including a 5-μm peripheral rim around the Aβ signal using QuPath. The area positive for the signal of interest (Iba1, CD68 or HT7) was obtained by thresholding and the measured surface was divided by the total area of the ROI to determine the percentage of coverage.
High-resolution images of the brain tissue with fluorescent immunostainings were taken either with a Leica DM5500 microscope or with a confocal Zeiss LSM700 microscope.
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9

Anatomical Analysis of Optic Fiber and GRIN Lens Positions

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For anatomical analysis of optic fiber- or GRIN lens positions, mice were transcardially perfused with a 4% paraformaldehyde (PFA) solution. The brains were post-fixed in PFA overnight and then transferred to 30% sucrose in phosphate-buffered solution for dehydration. Coronal brain sections of 40 µm thickness were prepared using a HM450 sliding microtome (Thermo Fisher Scientific, Waltham, MA, USA). Slices were mounted on Superfrost Plus slides (Thermo Fisher Scientific) and embedded in Fluoroshield mounting medium containing DAPI (Sigma-Aldrich) to stain cell nuclei. Slices were imaged with a slide scanning fluorescent microscope VS120-L100 (Olympus) with a 10 x /0.4 NA objective, or with a confocal microscope (Leica SP8). Brain atlas overlays are taken from Franklin and Paxinos, 2016 and were fit to the brain section image using scaling and rotations in Adobe Illustrator (Adobe, San Jose, CA, USA). Where indicated, registration of brain section images was performed onto the Allen Brain Atlas using an open-source ABBA alignment tool for FIJI (https://github.com/BIOP/ijp-imagetoatlas), developed at the Bioimaging and Optics Platform (BIOP) at EPFL (Chiaruttini et al., 2022 (link)). The majority of brain structure names and their abbreviations follows Franklin and Paxinos, 2016 ; their correspondence to the Allen brain atlas are given in Figure 7—source data 2.
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10

Quantifying Lung Mucus and Inflammation

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Lungs were flushed with 1 ml neutral 4% buffered formalin solution. The left lobes of lungs were then embedded in paraffin and stored overnight at 4 °C, sectioned, and stained with periodic-acid Schiff (PAS) reagents (Sigma) according to standardized protocols. Sections were imaged on a slide-scanning microscope (VS120-L100, Olympus, Tokyo, Japan) and analyzed with Fiji software (NIH, Bethesda, MD USA). Mucus score was quantified as the average number of mucus-producing goblet cells per unit length of bronchi circumference. The inflammation score for each mouse was quantified as the inflamed surface area minus the area of the blood vessel lumen, normalized to the average inflamed surface area minus the area of blood vessel lumen in naïve mice.
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