Thanks for sharing @sulianamanley.bsky.social.
Thanks for sharing @sulianamanley.bsky.social.
A nice step toward making super-resolution imaging truly quantitative rather than just comparative.
Congrats @lycasworks.bsky.social and thanks for sharing.
A nice step toward making super-resolution imaging truly quantitative rather than just comparative.
Congrats @lycasworks.bsky.social and thanks for sharing.
— Wildtype One 🧬
(3/3)
— Wildtype One 🧬
(3/3)
Different epitope affinity
Different background
Different story
🛠️ Low-awareness fix:
• Validate each new lot
• Run KO/KD control once, not forever
• Never trust a single antibody
(2/3)
Different epitope affinity
Different background
Different story
🛠️ Low-awareness fix:
• Validate each new lot
• Run KO/KD control once, not forever
• Never trust a single antibody
(2/3)
You can get results that are as good (or even better) if you incubate 4 hours at room temperature
Sometimes 3h is enough
You'll gain a day
...and finish your experiment faster
— Wildtype One 🧬
You can get results that are as good (or even better) if you incubate 4 hours at room temperature
Sometimes 3h is enough
You'll gain a day
...and finish your experiment faster
— Wildtype One 🧬
Congratulations on the publication, @seiliez.bsky.social. A nice mechanistic link between central CMA activity and feeding behavior
It adds an unexpected but compelling layer to how satiety and metabolic regulation are controlled
Congratulations on the publication, @seiliez.bsky.social. A nice mechanistic link between central CMA activity and feeding behavior
It adds an unexpected but compelling layer to how satiety and metabolic regulation are controlled
The convergence of cross-reactive CD4 clonotypes, HLA restriction, and inflammatory cytokine output makes the mimicry model feel unusually concrete here
Thanks for sharing @jackamatica.bsky.social
The convergence of cross-reactive CD4 clonotypes, HLA restriction, and inflammatory cytokine output makes the mimicry model feel unusually concrete here
Thanks for sharing @jackamatica.bsky.social
Congrats on the paper and the elegant demonstration with subcellular mRNA localization, @npanayotis.bsky.social
Congrats on the paper and the elegant demonstration with subcellular mRNA localization, @npanayotis.bsky.social
@ishier.bsky.social @lucygdornan.bsky.social
@ishier.bsky.social @lucygdornan.bsky.social
A final rule of thumb 👍:
If SEM makes your data look better, it’s probably the wrong choice.
Clean figures are nice
Honest figures are more useful
And in the long run, they’re easier to defend
— Wildtype One 🧬
(8/8)
A final rule of thumb 👍:
If SEM makes your data look better, it’s probably the wrong choice.
Clean figures are nice
Honest figures are more useful
And in the long run, they’re easier to defend
— Wildtype One 🧬
(8/8)
- Variability, heterogeneity, or subpopulations matter
- n is small (often the case in wet-lab biology)
- You want readers to understand the behavior of the system, not just the mean
(7/8)
- Variability, heterogeneity, or subpopulations matter
- n is small (often the case in wet-lab biology)
- You want readers to understand the behavior of the system, not just the mean
(7/8)
- You care about mean precision, not biological spread
- Sample sizes are reasonably large
- Raw data or variability are shown elsewhere
Examples: method validation, calibration curves, technical performance comparisons.
(6/8)
- You care about mean precision, not biological spread
- Sample sizes are reasonably large
- Raw data or variability are shown elsewhere
Examples: method validation, calibration curves, technical performance comparisons.
(6/8)
1️⃣ SD asks: How variable is the biology?
2️⃣ SEM asks: How precisely have I estimated the mean of an abstract population?
(5/8)
1️⃣ SD asks: How variable is the biology?
2️⃣ SEM asks: How precisely have I estimated the mean of an abstract population?
(5/8)
...even if the biological variability hasn’t changed at all
Readers assume error bars = variability
So even when your figure legend says “mean ± SEM”
Your SEM can mislead with a false sense of precision
(4/8)
...even if the biological variability hasn’t changed at all
Readers assume error bars = variability
So even when your figure legend says “mean ± SEM”
Your SEM can mislead with a false sense of precision
(4/8)
- SD shows variability in the data
- SEM shows uncertainty in the mean
But there's more...
(3/8)
- SD shows variability in the data
- SEM shows uncertainty in the mean
But there's more...
(3/8)
🤷♂️ “My PI insists on SEM because it makes the error bars smaller...”
🤷♂️ “Reviewers asked for SEM but didn’t explain why...”
🤷♂️ “Everyone uses SEM in this field so I guess we do too...”
(2/8)
🤷♂️ “My PI insists on SEM because it makes the error bars smaller...”
🤷♂️ “Reviewers asked for SEM but didn’t explain why...”
🤷♂️ “Everyone uses SEM in this field so I guess we do too...”
(2/8)