Dr. Max Fomitchev-Zamilov

The vases that were scanned using CAT scanner took a day, day and a half, sometimes two days, because there were just a lot more data points. So resolution in terms of how many points per inch you get is obviously one advantage. The other advantage is, you know, resolving capacity of the instrument. So the resolution in terms of how small of a feature you can see.

The vases that were scanned using CAT scanner took a day, day and a half, sometimes two days, because there were just a lot more data points. So resolution in terms of how many points per inch you get is obviously one advantage. The other advantage is, you know, resolving capacity of the instrument. So the resolution in terms of how small of a feature you can see.

The vases that were scanned using CAT scanner took a day, day and a half, sometimes two days, because there were just a lot more data points. So resolution in terms of how many points per inch you get is obviously one advantage. The other advantage is, you know, resolving capacity of the instrument. So the resolution in terms of how small of a feature you can see.

And what's the certainty that you're seeing a small feature that is a true feature and not the artifact of imaging. And that's like a very important point that I want to dwell upon. So when you, let's say you take an optical scanner and you scan an object, I almost immediately will say that your scan is probably invalid, because you are assuming the instrument behaves in a certain way.

And what's the certainty that you're seeing a small feature that is a true feature and not the artifact of imaging. And that's like a very important point that I want to dwell upon. So when you, let's say you take an optical scanner and you scan an object, I almost immediately will say that your scan is probably invalid, because you are assuming the instrument behaves in a certain way.

And what's the certainty that you're seeing a small feature that is a true feature and not the artifact of imaging. And that's like a very important point that I want to dwell upon. So when you, let's say you take an optical scanner and you scan an object, I almost immediately will say that your scan is probably invalid, because you are assuming the instrument behaves in a certain way.

And in science, you can never make that assumption. And here's where calibration is important. And that's a point that I argue all the time, not just, you know, with amateurs, with scientists, because let's say I make this, you know, nutrient detector, somebody buys a nutrient detector from me, you know, they make a measurement and they say, you know, here,

And in science, you can never make that assumption. And here's where calibration is important. And that's a point that I argue all the time, not just, you know, with amateurs, with scientists, because let's say I make this, you know, nutrient detector, somebody buys a nutrient detector from me, you know, they make a measurement and they say, you know, here,

And in science, you can never make that assumption. And here's where calibration is important. And that's a point that I argue all the time, not just, you know, with amateurs, with scientists, because let's say I make this, you know, nutrient detector, somebody buys a nutrient detector from me, you know, they make a measurement and they say, you know, here,

And I say, well, where is your calibration measurement? All right, you know, I made a good instrument. I sold you a good instrument. But how do you know that at that moment in time, when you're taking this measurement that you're going to stake a claim on, you know that the instrument is actually working? Because, you know, things happen. And it's like breathing.

And I say, well, where is your calibration measurement? All right, you know, I made a good instrument. I sold you a good instrument. But how do you know that at that moment in time, when you're taking this measurement that you're going to stake a claim on, you know that the instrument is actually working? Because, you know, things happen. And it's like breathing.

And I say, well, where is your calibration measurement? All right, you know, I made a good instrument. I sold you a good instrument. But how do you know that at that moment in time, when you're taking this measurement that you're going to stake a claim on, you know that the instrument is actually working? Because, you know, things happen. And it's like breathing.

You know, everything breathes, breathes. Everything, you know, goes in and out of tolerance, of calibration. Noise creeps in. It's just, whenever you take an important measurement, the first thing you do, you take a calibration measurement.

You know, everything breathes, breathes. Everything, you know, goes in and out of tolerance, of calibration. Noise creeps in. It's just, whenever you take an important measurement, the first thing you do, you take a calibration measurement.

You know, everything breathes, breathes. Everything, you know, goes in and out of tolerance, of calibration. Noise creeps in. It's just, whenever you take an important measurement, the first thing you do, you take a calibration measurement.

So in case of the nutrient detector, you take a nutrient source, you capture this spectrum, you make sure it looks the way it is, and then, you know, you take your measurement, and that's how you know that the device worked. And then every once in a while, you repeat this calibration, especially, you know, when The measurement is important. You want to make sure, is the instrument still working?

So in case of the nutrient detector, you take a nutrient source, you capture this spectrum, you make sure it looks the way it is, and then, you know, you take your measurement, and that's how you know that the device worked. And then every once in a while, you repeat this calibration, especially, you know, when The measurement is important. You want to make sure, is the instrument still working?

So in case of the nutrient detector, you take a nutrient source, you capture this spectrum, you make sure it looks the way it is, and then, you know, you take your measurement, and that's how you know that the device worked. And then every once in a while, you repeat this calibration, especially, you know, when The measurement is important. You want to make sure, is the instrument still working?

Because they never do. And in the case of metrology, there are metrological standards. And that was the first thing that I did when we started this. I said, Matt, we need this metrological standard, because I don't care what instrument it is and what the lab is telling about themselves. I want to see a scan of a metrological standard.

Because they never do. And in the case of metrology, there are metrological standards. And that was the first thing that I did when we started this. I said, Matt, we need this metrological standard, because I don't care what instrument it is and what the lab is telling about themselves. I want to see a scan of a metrological standard.