[lambdaloop]

That's a great point!

Honestly this was a quick post I wrote to practice writing and wrote it from my own personal experiences.

I agree with you about research being really open ended, which makes it hard. Several of us have dealt with depression after an experiment we worked on for 2 years abruptly failed.

I disagree about science being more incremental than 50 years ago. I think we tend to read only read the highlights from the past and it makes it feel like everything was revolutionary. There were incremental changes in the past and we have revolutions in the present.

In my field, Drosophila neuroscience, our methods have completely changed between when I started 5 years ago and now. We can now track all joints of a moving fly in 3D. The tools to image neural activity are literally 10x better (in terms of SNR and speed). We have the connectome for (half of) an adult fly brain and complete larval brain connectome, which is changing how we look at these circuits. We have identified all the motor neurons in the ventral nerve cord of the fly.

[asciii]

> We can now track all joints of a moving fly in 3D. The tools to image neural activity are literally 10x better

This sounds like another blog post I’d dive into…

[lambdaloop]

Ohh good idea. Will write it sometime.

If you're interested in the progress in animal tracking, I wrote a post summarizing some up and coming research here: https://writing.lambdaloop.com/posts/cv4animals-2021/

[asciii]

I am, thanks for sharing!