0:00:00.902,0:00:06.856 Doc Edgerton inspired us[br]with awe and curiosity 0:00:06.880,0:00:12.118 with this photo of a bullet[br]piercing through an apple, 0:00:12.142,0:00:15.994 and exposure just a millionth of a second. 0:00:17.661,0:00:24.550 But now, 50 years later,[br]we can go a million times faster 0:00:24.574,0:00:29.336 and see the world[br]not at a million or a billion, 0:00:29.360,0:00:32.413 but one trillion frames per second. 0:00:33.865,0:00:37.529 I present to you[br]a new type of photography, 0:00:37.553,0:00:39.588 femto-photography, 0:00:39.612,0:00:44.188 a new imaging technique so fast 0:00:44.212,0:00:48.484 that it can create slow motion[br]videos of light in motion. 0:00:49.413,0:00:54.272 And with that, we can create cameras[br]that can look around corners, 0:00:54.296,0:00:56.269 beyond line of sight, 0:00:56.293,0:01:01.149 or see inside our body without an x-ray, 0:01:01.173,0:01:04.980 and really challenge[br]what we mean by a camera. 0:01:06.440,0:01:09.574 Now if I take a laser pointer[br]and turn it on and off 0:01:09.598,0:01:12.401 in one trillionth of a second -- 0:01:12.425,0:01:15.212 which is several femtoseconds -- 0:01:15.236,0:01:19.233 I'll create a packet of photons[br]barely a millimeter wide. 0:01:20.360,0:01:22.769 And that packet of photons, that bullet, 0:01:22.793,0:01:24.719 will travel at the speed of light, 0:01:24.743,0:01:28.701 and again, a million times faster[br]than an ordinary bullet. 0:01:29.622,0:01:34.133 Now, if you take that bullet[br]and take this packet of photons 0:01:34.157,0:01:37.489 and fire into this bottle, 0:01:37.513,0:01:41.084 how will those photons[br]shatter into this bottle? 0:01:41.864,0:01:44.452 How does light look in slow motion? 0:01:44.552,0:01:47.552 [Light in Slow Motion ...[br]10 Billion x Slow] 0:02:06.041,0:02:07.588 Now, the whole event -- 0:02:07.612,0:02:14.599 (Applause) 0:02:14.623,0:02:18.124 Now remember, the whole event[br]is effectively taking place 0:02:18.148,0:02:19.811 in less than a nanosecond -- 0:02:19.835,0:02:22.236 that's how much time[br]it takes for light to travel. 0:02:22.260,0:02:26.907 But I'm slowing down in this video[br]by a factor of 10 billion, 0:02:26.931,0:02:29.479 so you can see the light in motion. 0:02:29.503,0:02:30.573 (Laughter) 0:02:30.597,0:02:32.884 But Coca-Cola did not[br]sponsor this research. 0:02:32.908,0:02:35.010 (Laughter) 0:02:35.034,0:02:37.057 Now, there's a lot going on in this movie, 0:02:37.081,0:02:39.701 so let me break this down[br]and show you what's going on. 0:02:39.725,0:02:42.659 So the pulse enters[br]the bottle, our bullet, 0:02:42.683,0:02:45.221 with a packet of photons[br]that start traveling through 0:02:45.245,0:02:47.058 and that start scattering inside. 0:02:47.082,0:02:49.289 Some of the light leaks,[br]goes on the table, 0:02:49.313,0:02:51.925 and you start seeing[br]these ripples of waves. 0:02:51.949,0:02:54.957 Many of the photons[br]eventually reach the cap 0:02:54.981,0:02:57.871 and then they explode[br]in various directions. 0:02:57.895,0:02:59.783 As you can see, there's a bubble of air 0:02:59.807,0:03:01.449 and it's bouncing around inside. 0:03:01.473,0:03:03.923 Meanwhile, the ripples[br]are traveling on the table, 0:03:03.947,0:03:05.947 and because of the reflections at the top, 0:03:05.971,0:03:09.718 you see at the back of the bottle,[br]after several frames, 0:03:09.742,0:03:11.441 the reflections are focused. 0:03:13.210,0:03:18.599 Now, if you take an ordinary bullet 0:03:18.623,0:03:21.623 and let it go the same distance[br]and slow down the video -- 0:03:21.647,0:03:23.868 again, by a factor of 10 billion -- 0:03:23.892,0:03:28.285 do you know how long you'll have to sit[br]here to watch that movie? 0:03:28.309,0:03:29.897 (Laughter) 0:03:29.921,0:03:33.430 A day, a week? Actually, a whole year. 0:03:34.309,0:03:36.566 It'll be a very boring movie -- 0:03:36.590,0:03:37.981 (Laughter) 0:03:38.005,0:03:41.377 of a slow, ordinary bullet in motion. 0:03:42.700,0:03:46.057 And what about some[br]still-life photography? 0:03:53.112,0:03:58.098 You can watch the ripples,[br]again, washing over the table, 0:03:58.122,0:04:00.780 the tomato and the wall in the back. 0:04:00.804,0:04:03.594 It's like throwing a stone[br]in a pond of water. 0:04:07.403,0:04:11.063 I thought: this is how[br]nature paints a photo, 0:04:11.087,0:04:13.650 one femto frame at a time, 0:04:13.674,0:04:17.931 but of course our eye sees[br]an integral composite. 0:04:19.923,0:04:22.057 But if you look at this tomato[br]one more time, 0:04:22.081,0:04:24.826 you will notice, as the light[br]washes over the tomato, 0:04:24.850,0:04:26.514 it continues to glow. 0:04:26.538,0:04:28.565 It doesn't become dark. Why is that? 0:04:28.589,0:04:30.887 Because the tomato is actually ripe, 0:04:30.911,0:04:33.300 and the light is bouncing[br]around inside the tomato, 0:04:33.324,0:04:36.744 and it comes out after several[br]trillionths of a second. 0:04:37.714,0:04:42.053 So in the future, when this femto-camera[br]is in your camera phone, 0:04:42.077,0:04:44.031 you might be able to go to a supermarket 0:04:44.055,0:04:47.110 and check if the fruit is ripe[br]without actually touching it. 0:04:47.134,0:04:48.820 (Laughter) 0:04:48.844,0:04:52.533 So how did my team at MIT[br]create this camera? 0:04:53.906,0:04:55.850 Now, as photographers, you know, 0:04:55.874,0:04:59.835 if you take a short exposure photo,[br]you get very little light. 0:04:59.859,0:05:03.367 But we're going to go a billion times[br]faster than your shortest exposure, 0:05:03.391,0:05:05.320 so you're going to get hardly any light. 0:05:05.344,0:05:07.257 So what we do is we send that bullet -- 0:05:07.281,0:05:09.777 that packet of photons --[br]millions of times, 0:05:09.801,0:05:12.884 and record again and again[br]with very clever synchronization, 0:05:12.908,0:05:14.847 and from the gigabytes of data, 0:05:14.871,0:05:17.091 we computationally weave together 0:05:17.115,0:05:20.014 to create those femto-videos I showed you. 0:05:21.196,0:05:25.346 And we can take all that raw data[br]and treat it in very interesting ways. 0:05:26.015,0:05:27.832 So, Superman can fly. 0:05:27.856,0:05:30.114 Some other heroes can become invisible. 0:05:30.610,0:05:35.392 But what about a new power[br]for a future superhero: 0:05:35.416,0:05:37.277 To see around corners. 0:05:38.094,0:05:42.563 The idea is that we could[br]shine some light on the door, 0:05:42.587,0:05:45.238 it's going to bounce, go inside the room, 0:05:45.262,0:05:47.668 some of that is going to reflect[br]back on the door, 0:05:47.692,0:05:49.175 and then back to the camera. 0:05:49.199,0:05:52.196 And we could exploit[br]these multiple bounces of light. 0:05:52.687,0:05:55.354 And it's not science fiction.[br]We have actually built it. 0:05:55.378,0:05:57.444 On the left, you see our femto-camera. 0:05:57.468,0:05:59.823 There's a mannequin hidden behind a wall, 0:05:59.847,0:06:02.352 and we're going to bounce[br]light off the door. 0:06:02.749,0:06:06.242 So after our paper was published[br]in Nature Communications, 0:06:06.266,0:06:08.408 it was highlighted by Nature.com, 0:06:08.432,0:06:10.908 and they created this animation. 0:06:10.932,0:06:12.216 (Music) 0:06:12.240,0:06:15.104 [A laser pulse is fired] 0:06:15.128,0:06:18.000 (Music) 0:06:18.024,0:06:20.891 Ramesh Raskar: We're going to fire[br]those bullets of light, 0:06:20.915,0:06:24.291 and they're going to hit this wall, 0:06:24.315,0:06:26.946 and because of the packet of the photons, 0:06:26.970,0:06:29.080 they will scatter in all the directions, 0:06:29.104,0:06:31.445 and some of them will reach[br]our hidden mannequin, 0:06:31.469,0:06:34.851 which in turn will again[br]scatter that light, 0:06:34.875,0:06:39.446 and again in turn, the door will reflect[br]some of that scattered light. 0:06:40.683,0:06:44.179 And a tiny fraction of the photons[br]will actually come back to the camera, 0:06:44.203,0:06:45.354 but most interestingly, 0:06:45.378,0:06:48.461 they will all arrive[br]at a slightly different time slot. 0:06:48.926,0:06:53.759 (Music) 0:06:53.783,0:06:56.296 And because we have a camera[br]that can run so fast -- 0:06:56.320,0:06:59.402 our femto-camera --[br]it has some unique abilities. 0:06:59.426,0:07:02.244 It has very good time resolution, 0:07:02.268,0:07:05.163 and it can look at the world[br]at the speed of light. 0:07:06.114,0:07:09.371 And this way, we know the distances,[br]of course to the door, 0:07:09.395,0:07:11.172 but also to the hidden objects, 0:07:11.196,0:07:14.353 but we don't know which point[br]corresponds to which distance. 0:07:14.377,0:07:18.422 (Music) 0:07:18.446,0:07:21.876 By shining one laser,[br]we can record one raw photo, 0:07:21.900,0:07:24.924 which, if you look on the screen,[br]doesn't really make any sense. 0:07:24.948,0:07:27.068 But then we will take[br]a lot of such pictures, 0:07:27.092,0:07:29.252 dozens of such pictures,[br]put them together, 0:07:29.276,0:07:31.734 and try to analyze[br]the multiple bounces of light, 0:07:31.758,0:07:35.209 and from that, can we see[br]the hidden object? 0:07:35.233,0:07:37.367 Can we see it in full 3D? 0:07:38.113,0:07:40.042 So this is our reconstruction. 0:07:40.066,0:07:45.196 (Music) 0:07:45.220,0:07:52.196 (Applause) 0:07:52.791,0:07:54.260 Now, we have some ways to go 0:07:54.284,0:07:57.419 before we take this[br]outside the lab on the road, 0:07:57.443,0:08:01.172 but in the future, we could create[br]cars that avoid collisions 0:08:01.196,0:08:02.677 with what's around the bend. 0:08:03.581,0:08:07.668 Or we can look for survivors[br]in hazardous conditions 0:08:07.692,0:08:10.916 by looking at light reflected[br]through open windows. 0:08:11.604,0:08:17.475 Or we can build endoscopes that can see[br]deep inside the body around occluders, 0:08:17.499,0:08:19.199 and also for cardioscopes. 0:08:19.223,0:08:21.589 But of course,[br]because of tissue and blood, 0:08:21.613,0:08:22.868 this is quite challenging, 0:08:22.892,0:08:24.827 so this is really a call for scientists 0:08:24.851,0:08:27.158 to start thinking about femto-photography 0:08:27.182,0:08:29.063 as really a new imaging modality 0:08:29.087,0:08:32.607 to solve the next generation[br]of health-imaging problems. 0:08:33.082,0:08:36.939 Now, like Doc Edgerton,[br]a scientist himself, 0:08:36.963,0:08:39.266 science became art -- 0:08:39.290,0:08:41.952 an art of ultra-fast photography. 0:08:42.880,0:08:44.031 And I realized 0:08:44.055,0:08:47.496 that all the gigabytes of data[br]that we're collecting every time, 0:08:47.520,0:08:49.941 are not just for scientific imaging. 0:08:49.965,0:08:55.504 But we can also do a new form[br]of computational photography, 0:08:55.528,0:08:58.060 with time-lapse and color coding. 0:08:59.147,0:09:00.616 And we look at those ripples. 0:09:00.640,0:09:01.798 Remember: 0:09:01.822,0:09:07.295 The time between each of those ripples[br]is only a few trillionths of a second. 0:09:08.602,0:09:10.809 But there's also something[br]funny going on here. 0:09:10.833,0:09:13.629 When you look at the ripples[br]under the cap, 0:09:13.653,0:09:15.836 the ripples are moving away from us. 0:09:16.851,0:09:18.765 The ripples should be moving towards us. 0:09:18.789,0:09:20.161 What's going on here? 0:09:20.185,0:09:26.975 It turns out, because we're recording[br]nearly at the speed of light, 0:09:26.999,0:09:28.888 we have strange effects, 0:09:28.912,0:09:32.173 and Einstein would have loved[br]to see this picture. 0:09:32.197,0:09:33.236 (Laughter) 0:09:33.260,0:09:36.307 The order at which events[br]take place in the world 0:09:36.331,0:09:39.657 appears in the camera[br]sometimes in reversed order. 0:09:41.046,0:09:44.241 So by applying the corresponding[br]space and time warp, 0:09:44.265,0:09:46.632 we can correct for this distortion. 0:09:48.606,0:09:52.955 So whether it's for photography[br]around corners, 0:09:52.979,0:09:56.975 or creating the next generation[br]of health imaging, 0:09:56.999,0:09:59.891 or creating new visualizations, 0:09:59.915,0:10:01.539 since our invention, 0:10:01.563,0:10:06.688 we have open-sourced all the data[br]and details on our website, 0:10:06.712,0:10:13.665 and our hope is that the DIY,[br]the creative and the research communities 0:10:13.689,0:10:19.194 will show us that we should stop obsessing[br]about the megapixels in cameras -- 0:10:19.218,0:10:20.497 (Laughter) 0:10:20.521,0:10:24.909 and start focusing[br]on the next dimension in imaging. 0:10:25.607,0:10:26.917 It's about time. 0:10:27.337,0:10:28.489 Thank you. 0:10:28.513,0:10:35.383 (Applause)