@hassan.eslam93: #مشاهير_تيك_توك #كاس_العالم #yppppppppppppppppppppppp #ميسي مدلل الفيفا#محمد صلاح عمك...... . . مصر. ميسي مدلل الفيفا احنا المصريين اللي بدفتر فول وبنتغدى طعميه. .

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Tuesday 14 July 2026 11:35:11 GMT

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زهراء بدر محمد :

بالله عليكم ده جون يتلغي

2026-07-16 11:18:48

3

الچو واحد بس :

لو رجعو الماتش برضو مش هنرجع كاس العالم😂

2026-07-19 10:14:04

1

malek 7777777 :

أحنا الملوك

2026-07-19 13:43:48

1

سيف التيهي 919 :

😂😂😂

2026-07-19 13:30:58

1

Hamza Ahmed :

احنا الفراعنه

2026-07-19 13:01:05

1

😎Hamada😎 :

هايجلنا في تاكس 😂😂

2026-07-20 11:22:55

0

D4RK :

Lo

2026-07-18 14:12:58

0

Tawfiq Adel :

،،

2026-07-19 11:59:35

0

I,м Error :

✨ممكن تفاعل مع اخر فديو عندي✨🥰

2026-07-19 23:43:27

0

زوز Hamza 👑🇪🇬 :

جامد اخويا اللي ما ليش

2026-07-18 22:31:05

1

⚡S A L A H⚡ :

رئيس الفيفا

2026-07-18 16:53:15

0

عدي سامح :

بحبك يا ثروت

2026-07-18 15:37:47

0

youssef Torki :

عندك حق

2026-07-18 10:32:45

0

Amar Elsayed :

جااامد

2026-07-17 19:32:31

0

ادAd👿amمـــ🗣️ :

صح كده

2026-07-20 14:18:48

0

👑عبوده💫 :

ينصر دينك

2026-07-17 17:12:11

0

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Did you know the famous images from Hubble and the James Webb Space Telescope don’t come out of the telescope looking like that? And it’s definitely not what you’d see if you went to space 🚀🔭 I’ve been really interested in different forms of image-making… and in how we come to understand our world through images and the technologies that produce them. So I wanted to dig into how those famous space images actually came to be. Here’s what I learned! Our eyes pick up only a thin sliver of the electromagnetic spectrum — what’s known as visible light — and only when it’s fairly bright. Telescopes see far past us, catching infrared, ultraviolet, and other light we can’t detect at all. What they capture is monochromatic, black and white. Devoting the whole sensor to one narrow band captures far more detail, and astronomers usually want one specific range of wavelengths at a time. The color is added later, on the ground, by imaging specialists through deliberate choices, e.g., rules like chromatic order (shorter wavelengths become blue, longer become red) and shaped by what they’re trying to understand. So an astronomical image isn’t really a photograph. It’s more a data visualization. Telescopes let us gather different kinds of information about the universe. Turning that data into color, and into a final image, is ultimately an act of translation: a way to reveal and make sense of our universe. References in comments!! 📝 #DidYouKnow #spacescience #sciencecommunication #datavisualization #learningnewthings

Did you know the famous images from Hubble and the James Webb Space Telescope don’t come out of the telescope looking like that? And it’s definitely not what you’d see if you went to space 🚀🔭 I’ve been really interested in different forms of image-making… and in how we come to understand our world through images and the technologies that produce them. So I wanted to dig into how those famous space images actually came to be. Here’s what I learned! Our eyes pick up only a thin sliver of the electromagnetic spectrum — what’s known as visible light — and only when it’s fairly bright. Telescopes see far past us, catching infrared, ultraviolet, and other light we can’t detect at all. What they capture is monochromatic, black and white. Devoting the whole sensor to one narrow band captures far more detail, and astronomers usually want one specific range of wavelengths at a time. The color is added later, on the ground, by imaging specialists through deliberate choices, e.g., rules like chromatic order (shorter wavelengths become blue, longer become red) and shaped by what they’re trying to understand. So an astronomical image isn’t really a photograph. It’s more a data visualization. Telescopes let us gather different kinds of information about the universe. Turning that data into color, and into a final image, is ultimately an act of translation: a way to reveal and make sense of our universe. References in comments!! 📝 #DidYouKnow #spacescience #sciencecommunication #datavisualization #learningnewthings

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