Merge pull request #414 from tapasya234/fix_typos_unit_1

Fix the typos Chapter Imaging in Real-life of Unit 1

Author: johko

chapters/en/unit1/image_and_imaging/extension-image.mdx

@@ -36,7 +36,7 @@ We are so obsessive about seeing things that scientists have even changed the DN
 
 After that, it was a matter of improving this system to get more channels in place, in a longer timescale, in a better resolution. A great example of this is how microscopes now generate terabytes of data overnight. 
 
-A great example of this combined effort is the video below. In it, you see the time lapse of the projection of the 3D image of a developping embryo of a fished tagged with a fluorescent protein. Each colored dot you see on the image represents an individual cell.
+A great example of this combined effort is the video below. In it, you see the time lapse of the projection of the 3D image of a developping embryo of a fish tagged with a fluorescent protein. Each colored dot you see on the image represents an individual cell.
 
 ![Fisho Embryo Image adapted from https://www.biorxiv.org/content/10.1101/2023.03.06.531398v2.supplementary-material ](https://huggingface.co/datasets/hf-vision/course-assets/resolve/main/fish.gif)
 
@@ -74,7 +74,7 @@ Following the success with M87\*, astronomers aimed to image the supermassive bl
 
 ![Video of a horse decoded from DNA from https://doi.org/10.1038/nature23017](https://huggingface.co/datasets/hf-vision/course-assets/resolve/main/horsegif_0.gif)
 
-This one is a bit of a twist. It does not involve a new way to image, but rather a new way to read and archive images. The GIF you see above is an image that was stored in the DNA of a living bacteria. This was first made in 2017 by a group of scientists to show as a proof-of-concept that a living organism is an excellent way to archive data. To do this, the first translated the image values into nucleotides code (the famous ATCG). Then, they put this sequence into the DNA by using a system called CRISPR which is capable of editing the DNA. Then, they resequenced the DNA and reconstructed the gif you see below.
+This one is a bit of a twist. It does not involve a new way to image, but rather a new way to read and archive images. The GIF you see above is an image that was stored in the DNA of a living bacteria. This was first made in 2017 by a group of scientists to show as a proof-of-concept that a living organism is an excellent way to archive data. To do this, they first translated the image values into nucleotides code (the famous ATCG). Then, they put this sequence into the DNA by using a system called CRISPR which is capable of editing the DNA. Then, they resequenced the DNA and reconstructed the gif you see below.
 
 That is already quite impressive, but buckle up.  We can also see this in action! Well, not this precise example, but another group of scientists used high-speed atomic force microscopy to show how this works. This type of microscopy uses a sharp tip mechanically attached to the scan. The tip's interaction with the surface generates a topological description of a sample. All of this is at the nanoscale. The video below shows the CRIPR-cas-9 system, the DNA editor, doing its first step by chewing up the DNA. Yummy!