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Record W2086691133 · doi:10.1071/rd03065

Flow cytometric sorting of frozen–thawed spermatozoa in sheep and non-human primates

2004· article· en· W2086691133 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReproduction Fertility and Development · 2004
Typearticle
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
FundersAustralian Research Council
KeywordsAndrologyCentrifugationStainingMotilitySemenIncubationBiologyAnimal scienceChemistryChromatographyMolecular biologyAnatomyBiochemistryMedicine

Abstract

fetched live from OpenAlex

Research was conducted in sheep to determine an effective preparation method for high-purity sorting of frozen-thawed spermatozoa. The efficacy of sorting frozen-thawed spermatozoa was then investigated in several non-human primate species. An aliquot of each ejaculate (three rams, three ejaculates per ram) was processed as a fresh control (FRESH). Frozen spermatozoa were thawed and prepared for sorting by no further processing (FT-NEAT), washing (FT-WASH) or gradient centrifugation (FT-GRADIENT) and evaluated for motility at 1 h post-staining and motility and acrosomal status at 0 and 4 h post-sorting. Samples were analysed using a high-speed cell sorter. High levels of purity for X- and Y-enriched samples were achieved for all treatments (85-92%). The percentage of motile spermatozoa before sorting was lower (P < 0.05) for frozen-thawed samples (FT-NEAT: 32.7 +/- 2.5%; FT-WASH: 32.2 +/- 3.3%; FT-GRADIENT: 73.9 +/- 3.7%) compared with FRESH (83.3 +/- 1.2%). Post-sorting, the percentage of motile spermatozoa before and after incubation for FT-NEAT (60.0 +/- 5.1% and 27.2 +/- 6.1% for 0 and 4 h, respectively) was lower than that for FRESH (87.8 +/- 0.9% and 83.3 +/- 1.2% for 0 and 4 h, respectively; P < 0.05), FT-WASH (80.0 +/- 2.4% and 71.7 +/- 3.6% for 0 and 4 h, respectively; P < 0.05) and FT-GRADIENT (84.4 +/- 1.3% and 77.2 +/- 1.7% for 0 and 4 h, respectively; P < 0.05). Vanguard sperm migration distance through artificial cervical mucus was lower (P < 0.05) for FT-NEAT (17.7 +/- 1.7 mm) compared with FT-WASH (29.1 +/- 3.8 mm) and FT-GRADIENT (28.4 +/- 2.0 mm) and similar (P < 0.05) to FRESH (23.7 +/- 1.8 mm). Sample preparation using a modified wash method enabled high-purity sorting (range 86-97% purity) of frozen-thawed epididymal spermatozoa in the baboon (Papio hamadryas), common marmoset (Callithrix jacchus) and common chimpanzee (Pan troglodytes). For all non-human primate species, sorted spermatozoa were progressively motile (marmoset: 20.5 +/- 5.5%; baboon: 37.5 +/- 2.5%; chimpanzee: 73.0 +/- 2.0%), acrosome intact (marmoset: 68.5 +/- 7.5%; baboon: 89.5 +/- 1.5%; chimpanzee: 84.0 +/- 1.0%) and able to penetrate an artificial cervical mucus. In summary, high-purity sorting of frozen-thawed ram and non-human primate spermatozoa with recovery of progressively motile, acrosome-intact spermatozoa was possible after processing to remove cryodiluent.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.274
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it