6 measurements spanning 22 days, net +58. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 109–185 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Aug 2026, 00:42
176
+5
21 Aug 2026, 07:32
171
+2
14 Aug 2026, 19:06
169
+34
8 Aug 2026, 23:46
135
no change
6 Aug 2026, 15:58
135
+17
6 Aug 2026, 03:19
118
first reading
Engagement
20 posts held, back to 2 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 06s
Average length
1m 06s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
95 reactions across 13 posts, in 11 distinct kinds. The most used accounts for 43.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
41
43.2%
🔥
11
11.6%
👍
10
10.5%
💯
10
10.5%
❤🔥
5
5.26%
👏
4
4.21%
💔
4
4.21%
🕊
4
4.21%
🆒
3
3.16%
👌
2
2.11%
🤷♂
1
1.05%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 13 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 95 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 August 2026 to 8 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🔰 #معرفی_آزمایش¹ » Wright Test
🔴 تست رایت (Wright Test)
🔅 یک تست کلاسیک در تشخیص بروسلوز
💠 تست رایت یکی از آزمایشهای سرولوژیک مهم برای بررسی بروسلوز (تب مالت) است که بر پایه شناسایی آنتیبادیهای ضد Brucella در سرم بیمار انجام میشود.
✅ در این بخش به موارد زیر میپردازیم:
• تست رایت چیست و چه کاربردی دارد؟
• اصل و مراحل انجام آزمایش
• نحوه تفسیر تیتر آنتیبادی
• نکات مهم و محدودیتهای تست
💡 نکته:
تفسیر نتیجه تس…
🎬 #سکانس_آزمایشگاه¹ » کورتیزول
❌ کورتیزول؛ هورمون استرس 😰😭🧠
⁉️ تا حالا فکر کردی وقتی استرس میگیری ، داخل بدنت چه اتفاقی میافته؟ 👀
✅ در این انیمیشن یک دقیقهای ، با نقش کورتیزول و تأثیراتش در بدن آشنا میشیم ✨
⏱ یک دقیقه برای شناخت بیشتر بدن! 💯
#انجمن_علمی_علوم_آزمایشگاهی
#دانشگاه_علوم_پزشکی_بم
#LabVideo
#VideoOfTheWeek
➖➖➖➖➖➖➖➖➖➖
🆔 @MLSSA_MRBAM
• هر روز، فرصتی برای یادگیری بیشتر. 🧪
در کانال انجمن علمی علوم آزمایشگاهی دانشگاه علوم پزشکی تربت حیدریه، محتوای آموزشی، اخبار، کارگاهها، اینفوگرافیهای اختصاصی و مطالب کاربردی این رشته را دنبال کنید.
منتظر حضورتان هستیم. 📍
----------------------------------------------
• انجمن علمی علوم آزمایشگاهی تربت حیدریه •
⚪️ @MLS_Society99
️🎙 #صدای_آزمایشگاه¹
🩸کمخونی فقر آهن؛ شایع اما قابل پیشگیری ✅
⁉️ آیا میدانستید کمخونی فقر آهن شایعترین اختلال تغذیهای در جهان است و میلیونها نفر را درگیر میکند؟!
🔰 در این قسمت از پادکست انجمن علمی علوم آزمایشگاهی، با زبانی ساده و علمی به بررسی موارد زیر میپردازیم:
• فقر آهن چیست و چگونه ایجاد میشود؟
• نقش آهن در بدن و ساخت هموگلوبین
• علائم و نشانههای کمخونی فقر آهن
• آزمایشهای مهم برای تشخیص
• منابع غذ…
🖼 #اینفوگرافیک² » معرفی رشته
🔴 "علوم آزمایشگاهی؛
🔚 ستون اصلی تشخیص بیماریها" 🔬🦠
✅ بیش از ۷۰ درصد تصمیمات پزشکی بر پایه نتایج آزمایشهای تشخیص طبی انجام میشود. این موضوع نشاندهنده نقش حیاتی متخصصان علوم آزمایشگاهی در حفظ و ارتقای سلامت جامعه است.
💯 اگر به علم، تحقیق، فناوری و کمک به تشخیص و درمان بیماریها علاقهمند هستید، "رشته علوم آزمایشگاهی" میتواند انتخابی ارزشمند برای آینده شما باشد.
🧑🏻🔬 فرصتهای شغلی:
…
📢 فرصتی برای رشد، یادگیری و فعالیتهای دانشجویی
انجمن علمی علوم آزمایشگاهی دانشگاه علوم پزشکی دزفول از تمامی دانشجویان علاقهمند به فعالیتهای علمی، پژوهشی، آموزشی و مهارتی دعوت میکند تا به جمع ما بپیوندند.
اگر به دنبال یادگیری مهارتهای جدید، شرکت در کارگاههای آموزشی، آشنایی با فضای پژوهش و مقالهنویسی، حضور در برنامههای علمی و ایجاد ارتباط با دانشجویان فعال و توانمند دانشگاه هستید، انجمن علمی علوم آزمایشگاهی م…
🏴 فرا رسیدن #اربعین سید و سالار شهیدان ؛ حضرت اباعبدالله الحسین (علیه السلام) را بر همهی شیعیان آن حضرت تسلیت باد.. 🥀
#کمیته_تحقیقات_و_فناوری_دانشجویی
#انجمن_علمی_علوم_آزمایشگاهی
#دانشگاه_علوم_پزشکی_بم
#دانشکده_پزشکی
➖➖➖➖➖➖➖➖➖➖
🆔 @MLSSA_MRBAM
🆔 @Bam_src
🧰 #تجهیزات_آزمایشگاهی
📊 دستگاه سل کانتر (Cell Counter) 🩸
✅ یکی از تجهیزات پرکاربرد در آزمایشگاههای تحقیقاتی و کشت سلول، سل کانتر است ؛ دستگاهی که با استفاده از پردازش تصویر ، تعداد و زندهمانی سلولها را با دقت و سرعت بالا اندازهگیری میکند.
🔅 کاربردهای مهم:
• شمارش سلولهای کشتشده
• ارزیابی زندهمانی سلولها (Cell Viability)
• پایش رشد و تکثیر سلولی
• استفاده در تحقیقات سلولی، داروسازی و زیستفناوری
💯 مزایای …
❤4👍2🔥2
Showing the 12 most recent of 20 posts we hold for @MLSSA_MRBAM. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
کدام آزمایش برای پایش فعالیت بیماری در مراجعات بعدی بیشترین ارزش را دارد؟
آزمایش ANA10%
آزمایش Anti-dsDNA همراه با C3 و C470%
آزمایش RF0%
آزمایش CRP20%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 2 August 2026 to 8 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 18 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 28 August 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی علوم آزمایشگاهی دانشگاه علوم پزشکی بم” (@MLSSA_MRBAM), 176 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/MLSSA_MRBAM.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.